scholarly journals Innovation of air quality detector in passenger car using IoT

2020 ◽  
Vol 1 (1) ◽  
pp. 16-20
Author(s):  
Farih Bin Deraman ◽  
Asrudin Bin Mat Ali ◽  
Normi Bin Muhamad

The internet of things (IoT), is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction (Gismalla Abdullah, 2017). The internet of things helps people live and work smarter as well as gain complete control over their lives. A passenger car is a road motor vehicle, intended for the carriage of passengers and designed to seat no more than nine persons. The problems occur in passenger car when there is no device that monitor the quality of air in the car’s cabins. Air Quality Detector is an automatic system that being developed to send the value of Carbon Dioxide (CO2) level in car to LCD display and Blynk App. The existing low-end car do not have any system that can notify the passengers regarding the CO2 level in the car. As a solution, this innovation able to detect exact condition of carbon dioxide level in car to the LCD display and Blynk app to be warned by the passenger. Air Quality Detector has been simulated to run successfully in term of controlling and monitoring CO2 in the car.


Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 403 ◽  
Author(s):  
Alexander Kotsev ◽  
Sven Schade ◽  
Massimo Craglia ◽  
Michel Gerboles ◽  
Laurent Spinelle ◽  
...  


2020 ◽  
Vol 8 ◽  
pp. 34-38
Author(s):  
Samuel Kristiyana ◽  
Aldi Rinaldi

The monitoring system in this study is a system created to find out data about temperature, humidity, and air quality in a room. This research develops a monitoring system that uses the internet so that the monitoring range becomes wider. By utilizing the Internet of Things (IoT) technology using the thingspeak application integrated with the NodeMCU module ESP8266 features an LM35 temperature sensor that functions as a temperature detector, a DHT11 sensor as a humidity sensor, and an MQ-135 sensor as an air quality detector. These sensors send input signals to the NodeMCU ESP8266 module for processing. The wifi module contained in the NodeMCU ESP8266 module sends the value read by the sensor to the IoT Thingspeak platform which records logging data in graphical form. This system has the potential to be used as an indoor air quality monitoring system to raise awareness about the importance of healthy air quality



2017 ◽  
pp. 137-160 ◽  
Author(s):  
Ilze Black ◽  
Graham White

This chapter discusses the emergence of the Internet of Things, using a case study of a citizen science initiative, focusing in particular on issues involved in measuring air quality. The core of the citizen science initiative was formed by a world-wide network of early adaptors of the Internet of Things who, motivated by public health issues, set out to create widely available tools for air quality measuring. With these tools, they established a global, citizen-led, air quality measurement network. Besides highlighting a number of social and technological issues which are involve any such enterprise, this chapter engages with the discourse surrounding the use of IoT in collective sensing projects. Two questions are salient here. Firstly, can IoT technology be used in a citizen science context to monitor air quality? And secondly, does the construction of these devices lead to a successful mobilisation around issues of air quality?



2021 ◽  
Vol 13 (30) ◽  
pp. 53-63
Author(s):  
Margarita Gocheva ◽  
◽  
Velika Kuneva ◽  
Georgi Gochev ◽  
◽  
...  

The Internet of Things (IoT) has become increasingly popular in the recent decade. The Internet of Things helps people live and work smarter, as well as gain complete control over their lives. The concept of the IoT went widely into practice in different fields – Infrastructure, Production, Healthcare, Banks, Smart cities, Insurance, Media, Retail, Connected homes / Smart buildings, Agriculture, and many more. Modern agriculture can show its potential and importance by using these innovative technologies. The measuring devices, ensuring the transformation of data for the external environment into machine-readable data, at the same time filling the computing environment with significant information are very important. A wide range of measuring devices is used, from elementary sensors (e.g. temperature, pressure, illumination), consumption meters (e.g. smart meters) to complex integrated measuring systems. Satellites, drones, wireless sensor networks, analytical farming devices systems, farm management systems, big data applied to the farm are very useful and applicable in smart farming. The Internet of Things is a huge opportunity for farmers to monitor their crops and increase productivity, to monitor their livestock, to manage all the processes in their work and to take decisions at the right time. The article analyzes issues related to the modern IoT methods and their usage in general and in the area of agriculture. The main goal is to analyze the current state of IoT and its potential in areas of rural development and agriculture in the Republic of Bulgaria.



2018 ◽  
Vol 6 (3) ◽  
pp. 100-105
Author(s):  
Fathur Zaini Rachman

This research developed a gas monitoring system in the final waste disposal. The system has implemented the Internet of Things (IoT) using the ESP8266 Wi-Fi module to transmit methane (CH4) and carbon dioxide (CO2) data concentration, as well as temperature and humidity to the ThingSpeak server. Users can monitor and access these environmental data through social media Twitter and websites from anywhere. The fastest data delivery can be obtained with a time interval of 16 seconds on each data packet sent when there is an Internet connection.



Author(s):  
Ilze Black ◽  
Graham White

This chapter discusses the emergence of the Internet of Things, using a case study of a citizen science initiative, focusing in particular on issues involved in measuring air quality. The core of the citizen science initiative was formed by a world-wide network of early adaptors of the Internet of Things who, motivated by public health issues, set out to create widely available tools for air quality measuring. With these tools, they established a global, citizen-led, air quality measurement network. Besides highlighting a number of social and technological issues which are involve any such enterprise, this chapter engages with the discourse surrounding the use of IoT in collective sensing projects. Two questions are salient here. Firstly, can IoT technology be used in a citizen science context to monitor air quality? And secondly, does the construction of these devices lead to a successful mobilisation around issues of air quality?



Author(s):  
P. Parkavi ◽  
S. Rathi

Air pollution and its harm to human health has become a serious problem in many cities around the world. In recent years, research interests in measuring and predicting the quality of air around people has spiked. Since the Internet of things has been widely used in different domains to improve the quality for people by connecting multiple sensors. In this work an IOT based air pollution monitoring with prediction system is proposed. The internet of Things is a action interrelated computing devices that are given unique identifiers and the capability of exchange information over a system without anticipating that human to human or human to machine communication. The deep learning algorithm approach is to evaluate the accuracy for the prediction of air pollution. The main objective of the project is used to predict the air Quality. The large dataset works with LSTM for better air quality prediction. The prediction accuracy of air quality with LSTM, the evaluation indicator Root means square error is chosen to measure performance.



2021 ◽  
Vol 12 (3) ◽  
pp. 151
Author(s):  
Komang Try Wiguna Adhitya Primantara ◽  
Putu Wira Bhuana ◽  
Kyle Doran

Environmental pollution is a global issue that occurs at this time. It is caused by various human activities that produce pollutants that endanger their lives. By utilizing current technology, it is possible to design a Water and Air Quality Monitoring System based on the Internet of Things to monitor air and water quality quickly and in real-time in the surrounding environment. The users can access this system via the web and Android / IOS mobile applications that display the data obtained by the sensor in the form of real-time graphics of water and air conditions. In addition, this system consists of several sensor nodes in charge of providing field data regarding the parameters used as the basis for assessing water and air quality according to the applicable standards in Indonesia. Sensors for water using a Turbidity Sensor, DS18B20 Sensor, PH Sensor, DHT 11, and TDS (Total Dissolved Solids) Sensor. Sensors for air consist of the DHT11 sensor, the MQ-7sensor, the MQ-135 sensor, and the dust sensor GP2Y1010AU0F.



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