scholarly journals Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study

Author(s):  
Abdulrahman Abdullah Alkandari ◽  
Samer Moein

<span lang="EN-US">Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future.</span>

Author(s):  
Fransiscus Yudi Limpraptono ◽  
Eko Nurcahyo ◽  
Mochammad Ibrahim Ashari ◽  
Erkata Yandri ◽  
Yahya Jani

The increasing demand for electrical energy and the decreasing supply of fossil fuels in recent years have increased the cost of electrical energy. So that the culture of saving electrical energy is a habit that must be cultivated in the community. On the other hand, energy-saving behavior cannot be realized massively without a support system that can control energy use. With these concerns, it is necessary to develop a method that encourages a culture of saving electrical energy. This paper proposes a system that supports active energy efficiency methods that can support an energy-efficient culture. This system is an electric power monitoring system that is integrated with a smart electrical panel that continuously monitors the use of electrical energy and can control electrical loads automatically, record electricity usage, provide comprehensive reports and analyze energy usage. The method used to carry out this research is research and development. This research has produced a prototype of electrical power control and monitoring system that has a smart panel based on a raspberry PI 3 and PZEM-004t power energy meter. The monitoring system performs and executes automatic control of electrical loads. The system can also provide reports in the form of data monitoring in daily, weekly, monthly or annual period. From the test results, it can be concluded that the system can work well. This research is expected to contribute to providing a system that can support government efforts in saving energy.


2020 ◽  
pp. 118089
Author(s):  
Jacob Burns ◽  
Sabine Hoffmann ◽  
Christoph Kurz ◽  
Michael Laxy ◽  
Stephanie Polus ◽  
...  

In day to day life, the increase in Air and Sound pollution has become a distressing problem. It has now become a vital issue that is to be considered. To overcome this problem, an IoT based system to monitor the pollution levels constantly has been proposed. Nowadays Internet of things (IoT) is one of the most widely used and researched technology to monitor the environmental changes. It gives an innovative approach where various devices can be connected together with the use of the internet. By interconnecting different objects located at different locations, we can collectively analyze the data at a single place. This feature is useful in data analytics. Raspberry Pi mini-computer is used to collect different data from different sensors and this data is monitored. In our proposed system we are using four different modules namely Air Quality Monitoring System, Sound Intensity Monitoring System, Cloud based Monitoring System, Notification system. These modules are integrated together to monitor the environmental changes. This system can be implemented in remote areas where the bulky equipment cannot be placed. Industrial areas where the pollution levels are high can be constantly monitored and precautionary measures can be implemented if the pollution is more.


Earth's atmosphere is made of two gases Nitrogen and Oxygen. Five major air pollutants are Ground level Ozone, Airborne particles or aerosols, Carbon monoxide, Sulfur dioxide, Nitrogen dioxide. Air pollutants risky to human health are Ground level Ozone and Aerosols. They are the main ingredients of Smog . The ground level ozone is formed when sunlight reacts with certain chemical emissions like nitrogen dioxide, carbon monoxide or methane These chemicals are emitted from industrial waste, car exhaust, gasoline vapors etc. Air quality is measured with the Air Quality Index. An AQI under 50 is considered as good air quality however as the AQI number increases , it becomes a concern for human health . Researcher measured the PM level (PM 2.5 and PM 10), temperature, Humidity and other related parameters continuously on different woods in different times in a fixed size room and constrained environment to establish that Yagya is a reliable source to reduce environment pollution .


2020 ◽  
Vol 8 (T1) ◽  
pp. 353-362
Author(s):  
Mirjana Dimovska ◽  
Dragan Gjorgjev

BACKGROUND: Faced with the novel coronavirus outbreak (2019-nCoV), various urgent and coordinated actions have been taken worldwide to reduce spread of the disease. Slowing down economic activities, transportation, restrictions of the human public gatherings, and interaction resulted with a tremendous decline in air pollutant concentration especially in nitrogen dioxide, registered by National Aeronautics and Space Administration and European Space Agency satellites. AIM: The aim of the study was to assess the impact of COVID-19 lockdown conditions on the air quality in selected cities in Macedonia. METHODS: Daily mean concentration of the particulate matter (PM10 and PM2.5), nitrogen dioxide, ozone, and carbon monoxide measured in the national air quality monitoring network, was analyzed separately comparing following periods: past week of February 2020 to the end of May 2020 with the same period in 2017–2019. Depending on the data distribution, parametric independent-samples t-test or nonparametric Mann–Whitney U-test was run to determine if there were differences in the pollutants concentration during the COVID-19 and non-COVID-19 period. RESULTS: Implementation of strict restrictions of the movement along with reduced economic activities and vehicular transport, led to notable decrement of air pollutant concentrations. We have found an evident decrease in the concentration levels of all pollutants measured during COVID-19 period in 2020, compared to those from 2017 to 2019 with exceptions for PM2.5 in Kumanovo and carbon monoxide in Skopje (7% and 3% higher concentration). The most notable decrement was for NO2, with a concentration 5–31% lower during COVID-19 period. CONCLUSIONS: Although beneficial to human health, there is a need to assess economic implications of the lockdown that could have a negative impact on the health as well.


Author(s):  
Wilhen Huaman Hinostroza ◽  
◽  
Brian Meneses Claudio ◽  
Alexi Delgado

One of the big problems in the city of Cerro de Pasco is the air pollution caused by the mining activity that occurs in this area, this activity generates a total of 3737 metric tons per year of particulate matter, which are thrown into the environment in an alarming way, thus reaching that this particulate matter can lodge inside the organism of the inhabitants permanently, causing in them diseases in the respiratory system, thus affecting the most vulnerable population, producing in them infections in the respiratory tract that can even carry those to death. Nowadays the teams that carry out the monitoring of air quality are restricted only to the academic and governmental sphere, so much so that the population does not know the degree of air pollution. For this reason, it is proposed to carry out a system to measure the level of air pollution taking as main data, the measurement of particulate matter and the emission of carbon monoxide, the data that can be recovered from these measurements to be able to compare them with the parameters dictated by the Ministry of the Environment. As a result, an autonomous system was obtained, with which the level of particulate matter, possible toxic gases, and the measurement of the level of carbon monoxide can be measured, all these pollutants that could be in the environment, all these measurements are constant, thus leading the population to become aware of the level of quality of the environment where they live. Keywords- Environmental pollution, articulated matter, carbon monoxide, toxic gases, mining activity, air quality


Author(s):  
Wei Jian Ng ◽  
Zuraini Dahari

Air pollution is one of the biggest threat for the environment and the human’s health. The monitoring of air pollution based on several atmospheric pollutants is becoming critical in most countries including Malaysia. This paper presents a development and enhancement features of real-time Internet of Things (IoT)-based environmental monitoring system for air quality. The proposed system will be beneficial to monitor the real-time data for a specific set of air quality parameters such as temperature, humidity and concentration of carbon monoxide, liquified petroleum gas (LPG) and smoke. An alarm system will be triggered if the concentration of carbon monoxide exceeds 50 ppm. Users can use their smartphone to view these data via Wi-Fi by installing an application called “AirProp”. Based on the collected data, this paper also analyses other contributing factors such as time and traffic condition on the temperature, humidity and concentration of pollutant gases at different locations. The advantage of the real-time system is it serves as the data base platform to store data up to certain duration of time. The data can be further analysed and leveraged by governments and researchers to mitigate air pollution.


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