MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring (original) (raw)
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Sensors
This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in ...
IoT monitoring system for air quality assessment and collecting data
Indonesian Journal of Electrical Engineering and Computer Science, 2022
The composition of the air has been visibly altered as a result of human activity, resulting in what we term air pollution. It is no longer necessary to prove the effects on ecosystems and human health. Under these conditions, governments all around the world are working to address this issue, notably in the area of real-time air quality monitoring. The implementation of a data provider is a necessary step in achieving this goal. In that case, this study presents a hardware and software solution to provide a low-cost deployable device to acquire environmental data related to AP such as CO, CO2, NH3, and NO2, along with temperature and humidity. In addition to an user interface development, a complete circuit layout and a set of software criteria are set up to ensure a reliable implementation, data collection, and network communications. The results demonstrated that the device is capable of effectively obtaining real-time data. The analysis results indicate a link between environmental conditions and parameter values. This system deployment will ultimately contribute to providing a more elaborate mapped data distribution, according to a better understanding of our environment. This is an open access article under the CC BY-SA license.
Measuring Air Pollution Through Small Sensors for Environmental Monitoring in Small Cities
International Journal of Engineering Research and
One of the important problems faced by many countries in the world is environmental pollution, the lack of monitoring points for air quality is one of the main environmental and technological challenges. In this scenario, the following question is presented: How much do citizens of a city know about the levels of air pollution they breathe? The Internet of Things (IoT) offers many benefits to be used and applied in the monitoring of environmental pollution. This research seeks to establish monitoring points to assess air pollution for a small city. We have developed low-cost devices with Arduino technology and a mobile application for Android, which allows us to collect information for analysis. The measurements were based on the levels defined by Hidromet ETESA and the decree of the Ministry of Economy and Finance, which indicate the permissible levels of polluting gases. Four variables were used for the study: carbon monoxide, carbon dioxide, humidity and temperature. The values generated from the analysis of the data showed that the concentrations in each place do not exceed the permissible thresholds.
AirKit: A Citizen-Sensing Toolkit for Monitoring Air Quality
Sensors
Increasing urbanisation and a better understanding of the negative health effects of air pollution have accelerated the use of Internet of Things (IoT)-based air quality sensors. Low-cost and low-power sensors are now readily available and commonly deployed by individuals and community groups. However, there are a wide range of such IoT devices in circulation that differently focus on problems of sensor validation, data reliability, or accessibility. In this paper, we present AirKit, which was developed as an integrated and open source “social IoT technology”. AirKit enables a comprehensive approach to citizen-sensing air quality through several integrated components: (1) the Dustbox 2.0, a particulate matter sensor; (2) Airsift, a data analysis platform; (3) a reliable and automatic remote firmware update system; (4) a “Data Stories” method and tool for communicating citizen data; and (5) an AirKit logbook that provides a guide for designing and running air quality projects, along ...
Air quality monitoring system for IOT based smart city applications
International Journal of Computing and Artificial Intelligence
It is critical to keep essential air pollutants within the World Health Organization's (WHO) prescribed levels in order to counteract the rising number of people killed by the accompanying health concerns. This is particularly true in enclosed spaces, wherein poor ventilation can amplify the impacts of pollutants. Knowing the amount of contaminants in the air would be a good starting point for taking measures to mitigate. This paper proposes a domestic air pollution monitoring system based on the Internet of Things framework. Two CO2 and PM2.5 sensor that are essential for air pollution monitoring with adjusted air quality forecasting are being sent to the cloud via a LoRaWAN protocol compatible gateways that connects the sensor to the server side of the network. The designed Webbased user interface dashboards enable the users to query the system and retrieve data as well as analytical data. Baseline techniques are designed and deployed to make it easier to configure triggers for each sensor node and transmit notifications when a measured parameter surpasses a defined threshold value.
SmartBike: an IoT Crowd Sensing Platform for Monitoring City Air Pollution
International Journal of Electrical and Computer Engineering (IJECE), 2017
In recent years, the Smart City concept is emerging as a way to increase efficiency, reduce costs, and improve the overall quality of citizen life. The rise of Smart City solutions is encouraged by the increasing availability of Internet of Things (IoT) devices and crowd sensing technologies. This paper presents an IoT Crowd Sensing platform that offers a set of services to citizens by exploiting a network of bicycles as IoT probes. Based on a survey conducted to identify the most interesting bike-enabled services , the SmartBike platform provides: real time remote geo-location of users' bikes, anti-theft service, information about traveled route, and air pollution monitoring. The proposed SmartBike platform is composed of three main components: the SmartBike mobile sensors for data collection installed on the bicycle; the end-user devices implementing the user interface for geo-location and anti-theft; and the SmartBike central servers for storing and processing detected data and providing a web interface for data visualization. The suitability of the platform was evaluated through the implementation of an initial prototype. Results demonstrate that the proposed SmartBike platform is able to provide the stated services, and, in addition, that the accuracy of the acquired air quality measurements is compatible with the one provided by the official environmental monitoring system of the city of Turin. The described platform will be adopted within a project promoted by the city of Turin, that aims at helping people making their mobility behavior more sustainable.
Objectives: Air pollution continues to be a major challenge as countries develop. Low and middle-income countries seem the most affected today. According to the WHO, indoor pollution accounts for 4.3 million deaths a year, mostly in low and middle-income countries. In regards to outdoor air pollution, the WHO estimated that 3.7 million premature deaths were caused by outdoor air pollution in 2012.The WHO, based on the current scientific evaluation, has been able to connect certain levels of Particulate Matter, Ozone (O3), Nitrogen dioxide (NO2), Sulphur dioxide (SO2) and other chemical compounds, with harmful health effects. One of the main challenges of managing air pollution in low and middle-income countries is the lack of emission monitoring equipment that is used in higher income countries. This may be attributed to the high cost of the equipment and lack of expertise. The objective of this study is to examine how the advent of inexpensive sensor technology and access to the Internet through mobile devices can create an opportunity to measure, analyze, and visualize air pollution data at a low cost. Methods: For this study, we have used low-cost open sources technologies such as the Arduino microprocessor board; 3D printing; free online internet of things dashboards; low-cost chemical gas sensors; android phones and a solar based power source. A system was created and tested in the lab and field to collect data to verify the system can function. A comparison has been with the cost other existing technologies in a middle-income country such as Kenya and high specification portable equipment such as the Horiba PG-350Z and the UNEP Air Quality Unit. Results: The system was able to effectively take measurements from the lab and field test and visualize the data. Conclusion: The study shows that it is possible to have a low-cost air pollution health risk monitor. However, the study notes that a lot more research is needed to validate the results of the low-cost sensors and the overall accuracy and reliability of the system. Index Terms - Air pollution; Internet of Things; Sensors; Health; Smart Cities; Monitoring system
A Survey on Air Pollution Monitoring Using Internet of Things
International Journal of Scientific Research in Science, Engineering and Technology, 2020
Internet of Things (IoT) consists of smart devices that can sense the environment and perform data interaction with the users. Air Pollution is increasing day-by-day, which is a harmful cause for the humans and the living environment. In order to monitor the air pollution, a real-time system which provides a high spatio-temporal resolution is required due to the limited data availability and non-scalability of conventional air pollution monitoring systems. The air pollution monitoring systems are rapidly changing due to the immense advances in the development of portable, lower-cost air pollution sensors which collect data in near-real time at a high-time resolution, increased computational and visualization capabilities. It is possible that these advances can support traditional air quality monitoring by supplementing ambient air monitoring and enhancing compliance monitoring using various sensors. In this paper, we review the state-of-the-art low-cost air pollution sensors, identify their major impacts in various sessions and comprehensively surveying the validation of the sensing strategies suited for different deployments. And, different sensing applications in different domains such as IoT, Cloud and Edge Computing are also surveyed.
Towards Smart City: Sensing Air Quality in City based on Opportunistic Crowd-sensing
Cities are expanding and more and more citizens are exposed to air pollutants both indoors and outdoors. This may have adverse effects on citizens' health. In this paper, we present AirSense, an opportunistic crowd-sensing based air quality monitoring system, aimed at collecting and aggregating sensor data to monitor air pollution in the vicinity (building/neighbourhood) and the city. We introduce a light weight, low power and low cost air quality monitoring device (AQMD) and demonstrate how AQMD and smartphones in a crowd collaboratively gather and share data of interest to the cloud. In cloud, collected data are analyzed and an aggregate view is generated from data collected from various sensors and from different users for providing an air pollution heat map of the city. Unlike previous works, both micro and macro level air quality monitoring is possible with Airsense. End user can view his/her pollution footprint for the whole day, the neighborhood (local) air quality and AQImap (air quality index map) of the city on his/her smartphone. The system is implemented and the prototype is also evaluated.
AFFORDABLE REAL-TIME AIR QUALITY MONITORING USING IoT
Proceedings of the 3rd GHASKA Innovation Conference , 2019
Currently in Ghana, there are 2,800 estimated deaths per year from exposure to Particulate Matter (PM) and this figure is projected to rise to 4,500 by 2030. Due to financial constraints, Ghana’s Environmental Protection Agency (EPA); the statutory body in charge of the environment, has no large scale monitoring infrastructure to report on air quality in real or near real-time. In this paper, we describe the implementation of a cheap and modular Internet of Things (IoT) based infrastructure for monitoring air quality, in particular, particulate matter (PM) in near real time. The key enabler to this system is the use of LoRa wireless communication technology to create wireless sensor networks spanning several kilometers, thus cutting down on the cost of pricey communication hardware. In addition, the system provides a web interface to provide graphical visualization of air quality in real-time and a free public Application Programming Interface (API) by which developers can build innovative softwares that provide air quality information