scholarly journals Enhancement of real-time IoT-based air quality monitoring system

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.

2011 ◽  
Vol 1 ◽  
pp. 333-337
Author(s):  
Ai Guo Li ◽  
Jing He ◽  
Jiao Jiao Du ◽  
Qi Yang ◽  
Wen Kai Wang

Real-time monitoring of energy measurement is a crucial and challenging field of application research. Development of practical real-time monitoring system of energy measurement has important practical significance. Measurement of a plant's energy requirements are analyzed, The real-time monitoring of energy measurement are based on B / S structure design , and the actual problems are analyzed and discussed in the real-time monitoring system. The system's design and implementation method are analyzed in the practical application, to meet the requirements of real-time system. the real-time data collection, data analysis, data flow management are involved.


2018 ◽  
Vol 7 (2.6) ◽  
pp. 107 ◽  
Author(s):  
Neeraj Kumar Singh ◽  
Amardeep Kumar ◽  
Rajesh Singh ◽  
Anita .

With the rapid increase in urbanization, there is a huge and urgent need of controlling the air quality so that we can breathe freely. We need oxygen to live and sustain life and for that controlling the environment is must otherwise it would create a great damage. According to a survey, pollution is claiming one life every 23 seconds in India and the figure can go to an extent of 1 billion people dying due to air pollution by 2030. If there would be something free on earth then it would be just Carbon. The earliest step we can take towards this cause is the detection pollutants present in the atmosphere after which the action can be taken against these pollutants. The detection can be done by the use of various sensors like MQ-2, MQ-135, DHT-11, PM10/PM2.5, AQM65 etc. and then obtaining the real-time data to the local servers by the means of IoT. The pollutants can be easily monitored when connected through the internet and local servers. The sensors will work upon a micro-controller which is used to store the data and transmission of data to the servers. Afterwards, the data can be easily accessible on the application developed.


The surveys regarding air pollution shows that there has been a hasty growth due to the emission of fuels and exhaust gases from factories. The Air Quality Index (AQI) has been launched to note the contemporary status of the air quality. The intent of AQI is to aid every individual know how the regional air quality will make an impact on them. The Environmental Protection Agency assess the AQI for five major air pollutants namely Nitrogen dioxide (NO2), ground-level ozone (O3), particle pollution (PM10, PM2.5), carbon monoxide (CO), and sulphur dioxide (SO2). The intent of the project is to congregate real-time Air Quality Index from distinct monitoring stations across India, analysing the data and reporting on it. Collect the real-time data using the API key provided by Open Government Data (OGD) platform India. This is done by making use of Microsoft Business Intelligence (MSBI) and Power BI Tools to transform, analyse and visualize the data. This project can be utilized to develop various programs like Ozone today in Europe and in mobile applications which acts as an alert system that can protect people from air pollution.


2019 ◽  
Vol 10 (1) ◽  
pp. 43-54
Author(s):  
Karthik Sudhakaran Menon ◽  
Brinzel Rodrigues ◽  
Akash Prakash Barot ◽  
Prasad Avinash Gharat

In today's world, air pollution has become a common phenomenon everywhere, especially in the urban areas, air pollution is a real-life problem. In urban areas, the increased number of hydrocarbons and diesel vehicles and the presence of industrial areas at the outskirts of the major cities are the main causes of air pollution. The problem is seriously intense within the metropolitan cities. The governments around the world are taking measure in their capability. The main aim of this project is to develop a system which may monitor and measure pollutants in the air in real time, tell the quality of air and log real-time data onto a remote server (Cloud Service). If the value of the parameters exceeds the given threshold value, then an alert message is sent with the GPS coordinates to the registered number of the authority or person so necessary actions can be taken. The Arduino board connects with Thingspeak cloud service platform using ESP8266 Wi-Fi module. The device uses multiple sensors for monitoring the parameters of the air pollution like MQ-135, MQ-7, DHT-22, sound sensor, LCD.


Author(s):  
Bengang Bao ◽  
Xiangping Zhu ◽  
Yonghong Tan

<p class="keywords"><span lang="EN-US">Due to having a direct affect for the growth of crops, the monitor and modification for the indicators of Greenhouse environment play significant roles in improving the yield of crops. The system, which adopts FPGA technology to control and modify the air condition and lighting system by collecting and analyzing the data of the temperature and humidity, has achieved good effects in practice. In our study, the key technology of real-time data acquisition system based on FPGA is proposed. In particular, based on FPGA, the designed ADC0809 and asynchronous FIFO can save the data in real time, which can be analyzed and disposed timely, so that the environment can be corrected in time.</span></p>


2014 ◽  
Vol 1039 ◽  
pp. 251-255
Author(s):  
Zheng Hao Xu ◽  
Xiao Mei Hu ◽  
Dong Wang ◽  
Ru Jiang Zhou ◽  
Tao Yu

With the development of the LED bulb assembly line, the demand of the production line monitoring system is getting higher and higher. A real-time LED bulb assembly line monitoring system based on the OPC technology and Microsoft Visual Studio 2010 software is established. The real-time data of the LED bulb assembly line is provided to achieve the function which concludes alarming, scheduling, showing and so on. LED bulb assembly line monitoring system provides the strong safeguard for the smooth operation of production line.


2014 ◽  
Vol 926-930 ◽  
pp. 2143-2146
Author(s):  
Xiu Wei Fu ◽  
Li Fu ◽  
Jing Li

Human life and work are affected by PM2.5, so it is very necessary to get the real-time detection of PM2.5 every day. Remote monitoring is achieved by the LM3S8962 with Ethernet module as control core, and then the detect signals about PM2.5 air quality are transmitted by Ethernet communications. It has been proved by our experiment that Air quality testing data can be obtained in real time by experiments. It can be conclusion that the data of experimental is right by comparing.


2020 ◽  
Author(s):  
Farid RAHAL ◽  
Noureddine BENABADJI ◽  
Mohamed BENCHERIF ◽  
Mohamed Menaouer BENCHERIF

Abstract In Algeria, air pollution is classified as a major risk by the law. However, this risk is underestimated because there is no operational network for measuring air quality on a continuous basis.Despite the heavy investments made to equip several cities with these measurement systems, they are out of order due to a lack of continuous financial support.The alternative to the absence of these air pollution measurement networks can come from the recent development of electrochemical sensor technologies for air quality monitoring which arouses a certain interest because of their miniaturization, low energy consumption and low cost.We developed a low-cost outdoor carbon monoxide analyzer called APOMOS (Air pollution Monitoring System) based on electrochemical sensor managed by microcontroller. An application developed with the Python language makes it possible to manage process and analyze the collected data.In order to validate the APOMOS system, the recorded measurements are compared with measurements taken by a conventional analyzer.Comparison of the measurements resulting from conventional analyzer and those resulting from the APOMOS system gives a coefficient of determination of 98.39 %.Two versions of this system have been designed. A fixed version and another embedded, equipped with a GPS sensor. These 2 variants were used in the city of Oran in Algeria to measure the concentration of carbon monoxide continuously.The targeted pollutant is carbon monoxide. However, the design of the APOMOS system allows its evolution in an easy way in order to integrate other sensors concerning the various atmospheric pollutants.


The main aim of this paper is to deal with remote monitoring of various physical parameters of an electrical device via web-based application. This system facilitate user to monitor the real-time data from across the globe as the whole data is made available through pre-designed website. Real-time monitoring of electrical parameters is needed beside the high performance and precision of measurements with the development of modern industry towards networking. The main objectives of paper are to access the real-time data on global scale, to reduce the cost of visit & maintenance and finally to improve quality as well as throughput of production. All the physical parameters of an electronic device such as temperature, current, gas flow, viscosity etc. will be monitor independently. Microcontroller is used for the interconnection of all sensors and all collected information will be send to the web page using GSM facility. This real-time monitoring system definitely offers user for hassle free data accession. For high precision, repeatability of real-time data monitoring system has been done. This concept is helpful in industrial sectors for real time monitoring.


2010 ◽  
Vol 108-111 ◽  
pp. 586-591 ◽  
Author(s):  
Hai Bo Sun ◽  
Xiong Duan ◽  
Xin Gang Yao ◽  
Chao Tan

An improved progressive mesh simplification algorithm for 3D real-time level of detail rendering of shearer based on half-collapse was proposed, which has been successfully applied in the rendering of shearer and produced a good result. Virtools with its secondary development technology SDK (Software Development Kit) was applied to establishing a 3DVR(Three Dimensional Virtual Reality) digital information platform for shearer based on real-time archiving of important working parameters. By using the real-time data provided by the remote control and monitoring system for shearer, the virtual 3D model was driven to reappearance the working state and changing trend of the real one instantly. Preliminary experiments carried out in Xi’an Coal Mine Machinery Factory show that the 3DVR Digital Platform can be integrated with the remote control system for shearer well. The ability to real-time display of shearer’s working state is better than that in traditional ways, for the information is displayed in the form of data and curve in traditional control and monitoring system for shearer, which is unrealistic to the operator and unsuitable for remote control and monitoring.


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