scholarly journals Intelligent vehicle pollution monitoring using IoT

2018 ◽  
Vol 7 (2.7) ◽  
pp. 376
Author(s):  
Saranyakumar Chigurupati ◽  
Ravi Teja Vallamsetti ◽  
Yogesh Misra ◽  
Ragipati Karthik
Keyword(s):  
Air Pollution ◽  
Competent Authority ◽  
Pollution Monitoring ◽  
Pollution Level ◽  
Intelligent Vehicle ◽  
Smoke Emission ◽  
Vehicular Pollution ◽  
Vehicle Pollution ◽  
Day By Day

The major source of air pollution is vehicles. The vehicular pollution is increasing day by day and smoke emission from Automobile is causing pollution and also becoming hazardous to people health. An Arduino based prototype is developed to monitor and send the in- formation about the pollution emitted by a vehicle to competent authority. Simultaneously, if the pollution level is high then the vehicle ignition will automatically off by the system. IoT technology has made it possible to send the information about the pollution level in the form of SMS. 

scholarly journals Application of Internet of Things (IoT) on air pollution monitoring database system

2019 ◽  
Vol 125 ◽  
pp. 25005
Author(s):  
Sudarsono ◽  
Muhammad Andang Novianta ◽  
Cyrilla Indri Parwati
Keyword(s):  
Air Pollution ◽  
Internet Of Things ◽  
Structural Information ◽  
Line Graph ◽  
Pollution Index ◽  
Database System ◽  
Pollution Monitoring ◽  
Monitoring Station ◽  
Pollution Level ◽  
Air Pollution Monitoring

In the present work, a database system of air pollution monitoring is developed using Internet of Things (IoT) technology. The system aims to give structural information and trace of air pollution level at particular monitoring station. The particular monitoring location (node) is connected to IoT/M2M server via GSM network using GPRS feature and display on IoT/M2M application in web form. The database on IoT/M2M contains name, description, and location of the monitoring station, Pollution index and the time when the data are taken. On IoT/M2M, the data are displayed either in a color bar graph or a line graph. The color indicated the index value of the pollution. The data can be accessed via internet on isfuonline.info. The system is tested at laboratory environment to detect CO, SO2, NO2, O3, and PM. The test result shows that the system is worked well. Time required to transfer the monitoring data to the IoT server is about 15 minutes. Meanwhile, response time of the system is 30 minutes.

scholarly journals Research on an Iot Based Air Pollution Monitoring System

2019 ◽  
Vol 8 (9S2) ◽  
pp. 553-558
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Life Forms ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Pollution Level ◽  
Air Pollution Monitoring ◽  
Pollution Levels ◽  
Different Sources

Humankind, moving to a period centered upon improvement has overlooked the significance of supportability and has been the real guilty party behind the rising Pollution levels in the world's air among all other living life forms. The Pollution levels at certain spots have come to such high degrees that they have begun hurting our very own It will being. An IoT based Air Pollution observing framework incorporates a MQ Series sensor interfaced to a Node MCU outfitted with an ESP8266 WLAN connector to send the sensor perusing to a Thing Speak cloud. Further extent of this work incorporates an appropriate AI model to foresee the air Pollution level and an anticipating model, which is fundamentally a subset of prescient displaying. As age of poisonous gases from ventures, vehicles and different sources is immensely expanding step by step, it winds up hard to control the dangerous gases from dirtying the unadulterated air. In this paper a practical air Pollution observing framework is proposed. This framework can be utilized for observing Pollutions in demeanor of specific territory and to discover the air peculiarity or property examination. The obligated framework will concentrate on the checking of air poisons concentrate with the assistance of mix of Internet of things with wireless sensor systems. The investigation of air quality should be possible by figuring air quality index (AQI)

scholarly journals Implementing RFID for Detecting Vehicular Pollution and Status Monitoring

2019 ◽  
Vol 8 (11S) ◽  
pp. 962-965
Keyword(s):  
Mobile Application ◽  
Pollution Level ◽  
Vehicular Pollution ◽  
The Road ◽  
Status Monitoring ◽  
Sensing Material ◽  
Doped Zno ◽  
Vehicle Pollution ◽  
On The Road ◽  
Co Doped

atmospheric pollution is primarily caused by vehicles on the road. It has led to an increase in the health risks related to breathing such as asthma, bronchitis etc. The poisonous gases exhausted by such vehicles include nitrogen oxides, sulfur dioxide, carbon monoxide and causes various respiratory diseases and lung infection. This has contributed to severe environmental issues such as global warming. The focus of this paper is to monitor vehicle pollution by using Co doped ZnO as sensing material. The vehicle pollution sensing performance of Co doped ZnO result will be remotely controlled by using mobile application. Is uses RFID technology to monitor pollution level on roads and level of various categories of pollutants is measured by this technique.

scholarly journals Vehicular Pollution Monitoring Using IOT

2021 ◽  
Vol 9 (12) ◽  
pp. 347-352
Author(s):  
Sampada N. Lolge
Keyword(s):  
Air Pollution ◽  
Radio Frequency Identification ◽  
Pollution Monitoring ◽  
Vehicular Pollution ◽  
Gas Detectors ◽  
Lack Of Control ◽  
Long Time ◽  
Frequency Identification ◽  
Use Of Internet ◽  
The Ideal

Abstract: The air quality in metropolises is demeaning as a result of a complex commerce between natural and artificial environmental conditions. With the increase in urbanization and industrialization and lack of control on emigrations and use of catalytic transformers, a great quantum of particulate and poisonous feasts is produced. The ideal of this design is to cover air pollution on roads and track vehicles which beget pollution over a specified limit. Increased use of motorcars is a serious problem that has been around for a veritably long time. This paper gives check of different systems used to cover vehicular pollution and proposes use of Internet of Effects (IoT) to address this problem. Then, combination of Poisonous Gas Detectors and Radio Frequency Identification (RFID) trailing system is used to cover vehicular pollution records anytime anywhere. Keywords: loT, WS, Arduino, RFlD, Gas Sensor

scholarly journals REAL-TIME AIR POLLUTION MONITORING AND CONTROLLING SYSTEM

2014 ◽  
Vol 8 (3) ◽  
pp. 1405-1410
Author(s):  
Prachit Kurani ◽  
Yash Shah
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Pollution Monitoring ◽  
Automated System ◽  
Pollution Level ◽  
Monitoring And Control ◽  
Real Time System ◽  
Air Pollution Monitoring ◽  
Controlling System ◽  
Alert Message

This paper presents Real-Time system for air pollution monitoring and control. The main objective of the work is designing microcontroller based toxic gas detecting and alerting system. This is a semi-automated system such that if the pollution level exceeds the normal level then an alarm is generated immediately and also an alert message (SMS) is sent to the authorized person through the GSM. Along with this the ionizer responsible for reducing the level of pollutants too would be started by the system. Time to time detected data would be stored into database for further retrieval.

scholarly journals Smart Pollution Monitoring, Alert and Control System using IoT

2019 ◽  
Vol 9 (2) ◽  
pp. 1929-1935
Keyword(s):  
Air Pollution ◽  
Traffic Control ◽  
Urban Areas ◽  
Threshold Value ◽  
Threshold Level ◽  
Pollution Monitoring ◽  
Pollution Level ◽  
Health Related ◽  
Arduino Uno ◽  
And Control

One of the most important issues relating to the environment is Air Pollution. This is because it does not solely harm the environment in various ways such as ozone layer depletion, global warming but additionally affects the living beings adversely inflicting various health-related problems. The major contributors to Air Pollution apart from industries are vehicles. So, to observe and scale back air pollutants emitted from vehicles this paper proposes a design to develop a smart pollution monitoring system using IoT for detecting the over polluting vehicles. A semi-conductor sensor known as mq2 sensor is integrated with Arduino Uno and it is placed at the emission outlet of vehicle from where the smoke is emitted. The mq2 senor senses the different pollutants emitted from the vehicle and takes the reading of it. It is then compared with the pre-specified threshold value which is already programmed in Arduino Uno. Once the pollution level shoots on the far side beyond the set threshold level, various sorts of warnings such as textual warnings such as messages and, visual warning using LED are fabricated to point that the limit has been breached. Apart from it, if the owner of the vehicle is not taking necessary precaution then a message will be delivered to the traffic control office using GSM along with the GPS location including latitude and longitude values of the vehicle and will impose a fine on the owner of the vehicle as per traffic norms and may also cease the vehicle. This paper, when implemented in real time will be beneficial for the society as it is very economical and yields good result for measuring the air pollution mostly in urban areas.

scholarly journals Air Pollution Monitoring System using Node Mcu and Air Quality Sensors

2018 ◽  
Vol 8 (9) ◽  
pp. 3048-3051
Keyword(s):  
Air Pollution ◽  
Fossil Fuels ◽  
Pollution Monitoring ◽  
Motor Vehicles ◽  
Pollution Level ◽  
Health Issues ◽  
Major Health ◽  
Industrial Evolution ◽  
Air Pollution Monitoring

In today’s world, due to the fast growth in number of motor vehicles and industrial evolution, the environment around us is more polluted. The pollution majorly affects the quality of air and causes the major health issues to living beings. The major reason for atmosphere contamination is due to releasing of harmful gases like carbon di-oxide, carbon monoxide etc. from factories, vehicles and from combustion of fossil fuels. It is necessary to monitor the percentage of pollutant present in the air which will leads to environmental issues. To overcome this, we have designed a tool using IoT technology. The air pollution monitoring tool includes Microcontroller and Sensors that provides the provision to monitor the quality of air by detecting the harmful gases present in the atmosphere. The pollution level can be monitored remotely using PC or smart phones. The data is store in cloud and can be accessed remotely.

scholarly journals A GIS-Based Methodology to Determine Effect of Vehicular Pollution at Ward Level: Case Study of Jaipur City

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
A. D. Vyas ◽  
K. Mahale ◽  
R. Goyal
Keyword(s):  
Air Pollution ◽  
Road Network ◽  
Pollution Monitoring ◽  
Alternative Methods ◽  
Road Density ◽  
Vehicular Pollution ◽  
The Road ◽  
Urban City ◽  
Jaipur City ◽  
Monitoring Stations

To determine appropriate measures to reduce air pollution in any urban city, the first essential requirement is to estimate the spatial distribution of air pollution parameters in that area. In absence of air monitoring stations, alternative methods are required for the same. In the present work, a GIS-based methodology is presented to estimate the level of NO2 based on the road density of the road network of different categories of roads. Road network GIS layer and measured levels of the average value of NO2 for the year 2019 at 12 air pollution monitoring stations of Jaipur city are used to develop a large number of possible linear regression models for estimation of NO2 values based on road density values. Akaike Information Criterion (AIC) and adjusted r2 values are used to evaluate and arrive at the best-fitted model. Values from the cities of Jodhpur and Kota are used to validate the model. Using this model, NO2 levels are determined at 91 wards of Jaipur city and the output is compared with the similar map derived based on interpolation of NO2 values at the 12 monitoring stations. It is concluded that the methodology developed in this study generates better estimates of NO2 at the ward levels.

IoT-Based Real Time Air Pollution Monitoring System

2019 ◽  
Vol 11 (4) ◽  
pp. 28-41 ◽  
Author(s):  
Cynthia J. ◽  
Saroja M.N. ◽  
Parveen Sultana ◽  
J. Senthil
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Geographical Area ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Pollution Level ◽  
Air Pollution Monitoring ◽  
Pollution Levels ◽  
Major Factors

Humans can be adversely affected by exposure to air pollutants in ambient air. Hence, health-based standards and objectives for a number of pollutants in the air are set by each country. Detection and measurement of contents of the atmosphere are becoming increasingly important. Careful planning of measurements is essential. One of the major factors that influence the representativeness of data collected is the location of monitoring stations. The planning and setting up of a monitoring station are complex and incurs a huge expenditure. An IoT-based real time air pollution monitoring system is proposed to monitor the pollution levels of various pollutants in Coimbatore city. The geographical area is classified as industrial, residential and traffic zones. This article proposes an IoT system that could be deployed at any location and store the measured value in a cloud database, perform pollution analysis, and display the pollution level at any given location.

scholarly journals A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 403
Author(s):  
Gyorgy Kolumban-Antal ◽  
Vladko Lasak ◽  
Razvan Bogdan ◽  
Bogdan Groza
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Monitoring ◽  
Sensor Data ◽  
Pollution Level ◽  
User Privacy ◽  
Session Key ◽  
Air Pollution Monitoring ◽  
Main Challenge ◽  
Sensor Module

Air quality in urban environments has become a central issue of our present society as it affects the health and lives of the population all over the world. The first step in mitigating negative effects is proper measurement of the pollution level. This work presents a portable air pollution measurement system, built from off-the-shelf devices, that is designed to assure user privacy and data authenticity. Data is collected from sensor modules that can be hand carried or installed on vehicles, possibly leading to a vehicular sensor network that may cover a larger area. The main challenge is to provide authenticity for the sensor data while also ensuring user privacy. The proposed system assures authenticity and non-repudiation for the collected data by using group signatures and a blockchain-like structure for secure storage. We use regular key-exchange protocols based on elliptic curve cryptography in order to securely bootstrap a session key, then we benefit from secure tunneling to export data from sensors to the remote server. Post-update tampering is prevented by the use of a blockchain-like structure on the data server. We carry experiments both to determine the computational requirements of the procedures, as well as to measure indicators of air quality on nearby areas.

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