Abstract
Air pollution is one of the biggest problems that threatens the wellbeing of human life. Monitoring of such air pollution and controlling them is mandatory especially in the hospital environment. For the past two decades, Smart wireless sensor technology has extensively come up in design and sensor development. Plenty of research and fabrication techniques are being done globally, including in government laboratories and hospitals. This paper proposes the first indications of hospital air pollution monitoring system using smart wireless sensor and LabVIEW. A prototype comprising of three different types of gas sensors such as MQ135, MQ4, and MQ7 integrated with the ATmega 16 microcontroller and an application in LabVIEW equipped with remote monitoring has been developed. The different components of air pollutants and their concentrations in air are determined by the sensor system and communicated wirelessly to the remote destination by ZigBee technology. The concentrations of different air pollutants in ppm is also displayed graphically in the LabVIEW. This proposed system facilitates hospitals by remotely monitoring air quality and to take required action on sensing increased pollutants level above the acceptable range. It has been demonstrated to be quite use full for determining the quality of air in hospital environment and its surroundings. It is also of great importance for the health of hospital patients and health workers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Julius A, Jian-Min Z (2017) IoT based patient health monitoring system using lab view and wireless sensor network. Int J Sci Res (IJSR) 6(3):894–900
Telegam N, Kandasamy N, Nanjundan M (2017) Smart sensor network based high quality air pollution monitoring system using LabVIEW. Int J Online Eng (iJOE) 13(08):79–87
Al-Ali AR, Zualkernan I, Aloul F (2010) A mobile GPRS-sensors array for air pollution monitoring. IEEE Sens J 10(10):1666–1671
Snyder EG, Watkins TH, Solomon PA, Thoma ED, Williams RW, Hagler GS, Shelow D, Hindin DA, Kilaru VJ, Preuss PW (2013) The changing paradigm of air pollution monitoring. Environ Sci Technol 47(20):11369–11377
Alvear O, Zema NR, Natalizio E, Calafate CT (2017) Using UAV-based systems to monitor air pollution in areas with poor accessibility. J Adv Transport 7(1)
Yi WY, Leung KS, Leung Y, Meng ML, Mak T (2016) Modular sensor system (MSS) for urban air pollution monitoring. IEEE Sensors 1–3
Balasubramaniyan C, Manivannan D (2016) IoT enabled air quality monitoring system (AQMS) using raspberry Pi. Indian J Sci Technol 9(39):1–6
Anil Kumar U, Keerthi G, Sumalatha M, Sushma R (2017) IoT based noise and air pollution monitoring system using Raspberry Pi. Int J Adv Technol Eng Sci 5(3):183–187
Gupta H, Bhardwaj D, Agrawal H, Tikkiwal VA, Kumar A (2019) An IoT based air pollution monitoring system for smart cities. In: 2019 IEEE International conference on sustainable energy technologies and systems (ICSETS), IEEE, pp 173–177
Okokpujie K, Noma-Osaghae E, Modupe O, John S, Oluwatosin O (2018) A smart air pollution monitoring system. Int J Civil Eng Technol 9(9):799–809
Patil D, Thanuja TC, Melinamath BC (2019) Air pollution monitoring system using wireless sensor network (WSN). In: Data management, analytics and innovation, Springer, Singapore, pp 391–400
Saha D, Shinde M, Thadeshwar S (2017) IoT based air quality monitoring system using wireless sensors deployed in public bus services. In: Proceedings of the second international conference on internet of things, data and cloud computing, pp 1–6
Kaivonen S, Ngai EC (2020) Real-time air pollution monitoring with sensors on city bus. Digital Commun Netw 6(1):23–30
Miletiev R, Damyanov I, Iontchev E, Yordanov R (2020) Smart in-vehicle environment monitoring system. In: 2020 XXIX International scientific conference electronics (ET), IEEE, pp 1–4
Zaporozhets A, Babak V, Isaienko V, Babikova K (2020) Analysis of the air pollution monitoring system in Ukraine. In: Systems, decision and control in energy I, Springer, Cham, pp 85–110
Asha P, Natrayan LB, Geetha BT, Beulah JR, Sumathy R, Varalakshmi G, Neelakandan S (2022) IoT enabled environmental toxicology for air pollution monitoring using AI techniques. Environ Res 205(1):112574–112579
Li VO, Lam JC, Han Y, Chow K (2021) A big data and artificial intelligence framework for smart and personalized air pollution monitoring and health management in Hong Kong. Environ Sci Policy 124(1):441–450
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sathya, P. (2023). Smart Air Pollution Monitoring System for Hospital Environment Using Wireless Sensor and LabVIEW. In: Tripathi, A.K., Anand, D., Nagar, A.K. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WWCA 1997. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-5881-8_25
Download citation
DOI: https://doi.org/10.1007/978-981-99-5881-8_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-5880-1
Online ISBN: 978-981-99-5881-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)