Conference Paper2019Cited by 4

In Search of a Low-Cost IoT System for Real-Time Environment Monitoring

Akil Hamid Chowdhury, Abul Al Arabi, Md Ashraful Amin

2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON)

IEEE, pp. 87–92

  • Climate Action — Relevance: 49%
DOI: 10.1109/raaicon48939.2019.40URL

Abstract

Monitoring the environment of a certain area provides information that is useful in knowing climate change, level of pollution, the effect on human health and their way of life. In this paper, design, and implementation of a low-cost and portable environment monitoring system is proposed. The proposed system is designed and built exploiting Internet of Things (IoT) architecture. This will help the user to monitor the current weather and air quality of the surrounding area through the use of a mobile and web application. The proposed system is an IoT solution consisting of an IoT device and user interface software. The prototype device measures temperature, humidity, dust, UV index and different types of harmful gases and sends the data to a web server. The information is provided to the user like a weather app but with more insightful information. The device has the capability to gather and store data for a longer period which can be used to analyze changes over time. Other aspects of implementation are also discussed in this paper.

Keywords

  • UV index
  • weather monitoring
  • air quality monitoring
  • environmental monitoring
  • temperature and humidity monitoring
  • gas sensors
  • web and mobile application
  • low-cost IoT system
  • particulate matter measurement
  • data logging

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

  1. 1.Jalpa Shah, Biswajit Mishra. (2016). IoT enabled environmental monitoring system for smart cities. , 383–388[10.1109/iota.2016.7562757]
  2. 2.Kazi Sultanabanu Sayyad Liyakat, Kazi Kutubuddin Sayyad Liyakat. (2023). Arduino-Based Weather Monitoring System. , 24–29[10.46610/josh.2023.v08i03.005]
  3. 3.Kondamudi Siva Sai Ram, A.N.P.S Gupta. (2016). IoT based Data Logger System for weather monitoring using Wireless sensor networks. International Journal of Engineering Trends and Technology, 32(2), 71–75[10.14445/22315381/ijett-v32p213]
  4. 4.Ravi Kishore Kodali, Archana Sahu. (2016). An IoT based weather information prototype using WeMos. , 612–616[10.1109/ic3i.2016.7918036]
  5. 5.Hardeep Saini, Abhishek Thakur, Satinderpar Ahuja, Nitant Sabharwal, Naveen Kumar. (2016). Arduino based automatic wireless weather station with remote graphical application and alerts. , 605–609[10.1109/spin.2016.7566768]
  6. 6.Kiran Kumar C H, Prathap Varma P, Bharath Kumar D, Dhanya Syamala P, Aswini S, Madhan Mohan Reddy Z. (2022). Arduino based weather monitoring system. South Asian Journal of Engineering and Technology, 12(2), 19–22[10.26524/sajet.2022.12.25]
  7. 7.Aris Munandar, Hanif Fakhrurroja, Muhammad Ilham Rizqyawan, Rian Putra Pratama, Jony Winaryo Wibowo, Irfan Asfy Fakhry Anto. (2017). Design of real-time weather monitoring system based on mobile application using automatic weather station. , 44–47[10.1109/icacomit.2017.8253384]
  8. 8.Jess Christopher B. Lopez, Harreez M. Villaruz. (2015). Low-cost weather monitoring system with online logging and data visualization. , 1–6[10.1109/hnicem.2015.7393170]
  9. 9.Abul Al Arabi, Binoy Barman Shubha, Anjela Diana Corraya. (2016). 2D multi-gas mapper with cascading module system along with wireless sensor network. , 475, 94–99[10.1109/iciev.2016.7759975]

Cited By

  1. 1.DANIELA ONOFREJOVA, JAROSLAVA KADAROVA, JAROSLAVA JANEKOVA. (2021). DEVICE FOR MONITORING THE INFLUENCE OF ENVIRONMENTAL WORK CONDITIONS ON HUMAN FACTOR. MM Science Journal, 2021(4), 4841–4846[10.17973/mmsj.2021_10_2021034]
  2. 2.Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam, Abul Al Arabi, Md Sanzid Bin Hossain, Md Saad Ul Haque. (2023). Comparative Evaluation of Weather Forecasting using Machine Learning Models. , 1–6[10.1109/iccit60459.2023.10441077]
  3. 3.Syed Amin Al Mahim, Md Fahad Monir, Akil Hamid Chowdhury, M Ashraful Amin. (2024). Towards A Low-Cost Air Quality Monitoring System in Mega-Cities: Design and Deployment. , 1–5[10.1109/i2ct61223.2024.10544206]
  4. 4.Fariya Oyshi, Mushrafa Jahan Suha, Jawaad Rashid, Farruk Ahmed. (2023). Investigation of Low-Cost IoT Device for Health Monitoring. Lecture notes in networks and systems, 437–448[10.1007/978-981-99-0981-0_34]
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