Volume 3, Issue 1 (March 2018)                   J Environ Health Sustain Dev 2018, 3(1): 432-5 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hashemi H, Mirnasab M A. "Internet of Things": An Emerging Real-Time Technology for Environmental Health Monitoring. J Environ Health Sustain Dev 2018; 3 (1) :432-5
URL: http://jehsd.ssu.ac.ir/article-1-96-en.html
Department of Environmental Health Engineering, School of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Full-Text [PDF 614 kb]   (745 Downloads)     |   Abstract (HTML)  (2163 Views)
Full-Text:   (1041 Views)
"Internet of Things": An Emerging Real-Time Technology for Environmental Health Monitoring
 
Hassan Hashemi 1, Mohammad Amin Mirnasab 2*
 
  1. Research Center for Health Sciences, Institute of Health, Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
  2. Department of Environmental Health Engineering, School of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
A R T I C L E  I N F O
LETTER TO EDITOR  
*Corresponding Author:
Mohammad Amin Mirnasab
Email:
mirnasab@iran.ir
Tel:
+989176703396
 
Article History:
Received: 15 December 2017
Accepted: 20 February 2018  

Citation: Hashemi H, Mirnasab MA. "Internet of Things": An Emerging Real-Time Technology for Environmental Health Monitoring. J Environ Health Sustain Dev. 2018; 3(1): 432-5.
 
With the development of human society, environmental issue has become an important manifestation of civilization and life quality. Environmental monitoring has been always related to human understanding of the nature. There are some restrictions for human using traditional methods to monitor some environmental parameters in some inaccessible places, such as desert, mountain, and jungle and so on 1. United States Environmental Protection Agency (U.S.EPA) has imposed strict regulations on the concentration of many environmental contaminants in air and water. However, current monitoring methods are expensive and time-consuming, and create some limitations in sampling and analysis 2. Nowadays, Wireless Sensor Networks (WSN) provide new solutions for these issues 1. The WSN is low cost which is made up of thousands of smart sensor nodes which monitor physical or environmental conditions, such as temperature, pressure, moisture, humidity, light, or pollution in different locations 3. A sensor is a miniature component which measures physical parameters of the environment and transmits them either by wire or wireless medium. In wireless medium the sensor and its associated components are called as 'nodes' 4. In the biosensor devices, the target is a biological substance, and the sensing surface is composed of its specific receptor biomolecule 5. The term ˝Internet of things˝ (IoT) first used by Kevin Ashton in 1999, refers to new technologies that combine all kinds of sensors with the Internet. IoT supports many devices, such as input devices and some sensors such as a camera, microphone, keyboard, speaker, screen, near field connectivity (NFC) and Bluetooth 6. A recent study by Gartner reveals that; around 26 Billion devices will be connected to the network by the year of 2020. These devices will produce a lot of electronic waste and will also consume a significant amount of energy in order to execute different tasks. This will eventually pose a challenge in near future to reduce the energy consumption and will also demand for new ways of developing a green communication across the network 7. The connectivity, durability and reliability of sensors are paramount importance for accurate and reliable results 8. According to the research cluster of the IoT in Europe, three stimulants for the development of the IoT in countries are: achieving economic growth indicators, improving quality of life and protecting the environment 9. This study aimed to summarize the applications of IoT in the environmental health monitoring 10.
Monitoring health of buildings
The IoT can be achieved by maintaining a distributed database of the building and structural integrity measurements that can be collected by suitable sensors located in buildings, such as vibration and deformation sensors to monitor the building stress, atmospheric agent sensors in the surrounding areas to monitor pollution levels, as well as temperature and humidity sensors to have a complete characterization of the environmental conditions 10.
 Integrated waste Management
 Nowadays, waste production in the world has increased due to population growth, improvement of living standards, economic conditions, and development of industries 11. Increased solid waste quantities require improving and expanding the solid waste management options that affect various environmental issues, posing numerous threats and creating major potential problems 12. The primary issue in many modern cities is waste management, due to cost of services and garbage storage problems. It can be solved by using an intelligent waste container that detects the level of loading. Furthermore, an embedded sensor is used in this container that optimizes the collector truck’s route, reduces waste collection costs and improves the quality of recycling. The IoT can connect these end devices, i.e., intelligent waste containers, to a control center for optimal management of the collector truck 10.
Air Quality and Noise Monitoring
In crowded areas, parks or fitness trails, the IoT can provide means to monitor the quality of air. This will provide the healthiest path for outdoor activities and people can be continuously connected to their preferred personal training application10. Furthermore, by sensors, dust storms characteristics, toxic gases and UV Radiation in ambient air can be detected 13-15. As a noise monitoring tool, the IoT can measure the amount of noise produced at any given hour. Besides, the sound detection algorithms enable to identify the type of noise 10.
Water Quality Monitoring
Inadequate water supplies and increasing pollution in many parts of the world have become a growing concern during the past quarter century 16. On-line water resource information monitoring is basic and important for the water resource management 17. Therefore, the water quality monitoring is necessary which includes several chemical parameters. Some of these are: pH, redox potential, conductivity, dissolved oxygen, ammonium and chloride ion amount 18. Traditional water quality monitoring methods also have many problems, such as a long water quality monitoring cycle, water quality parameters sampling process consuming much manpower and resources, aging equipment and instruments, and insufficient data accuracy 19. By using water monitoring system, water wastage and power consumption are avoided and water is easily stored for later generations 20.
CSO (Combined Sewer Overflow) and Effluent monitoring
Understanding the behavior of the CSO structures is vital for urban flooding prevention and overflow control. Several cities have employed the IoT to monitor the performance of sewer systems and to provide useful data for managers and engineers. For the CSO structures, in addition to properly monitoring, it is also imperative to construct a model to predict the CSO events by utilizing data from the realm of the IoT. The model is expected to provide sufficient response time for making decisions about the CSO control, protect downstream hydraulic infrastructures during extreme rainfall events and mitigate the impact of the CSO on receiving waters 21. Traditionally, the quality of treated wastewater is defined by the measurement of the global parameters such as Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Organic Carbon (TOC) and Total Suspended Solids (TSS). Real-time monitoring of wastewater quality remains an unresolved problem to the wastewater treatment industry 22. Monitoring and control of wastewater treatment plants rely on four building blocks: insight the process as summarized in a proper process model; sensors that provide on-line data; adequate monitoring and control strategies and actuators that implement the controller output 23.
Food Safety Monitoring
Optical biosensors show greater potential for the detection of pathogens, pesticide and drug residues, hygiene monitoring, heavy metals and other toxic substances in the food to check whether it is safe for consumption or not 24. In conclusion, in recent years, the use of environmental degradation without ecological potential of the land has led to a collapse in the balance of nature, resulting in considerable deterioration in the environment. Resource constraints on the one hand and population growth and patterns of consumption energy on the other hand have caused to raise the pressure on the environment and natural resources. Continuous monitoring of the environment can make policymakers and decision makers more informed 25.
 
This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use.
 
References
  1. Ye D, Gong D, Wang W. Application of wireless sensor networks in environmental monitoring. In Power Electronics and Intelligent Transportation System (PEITS. Proceedings of the IEEE 34th Conference on Local Computer Networks;
    Zurich, Switzerland. 20–23 October 2009.
  2. Robinson A, Miller DR, Ho CK, et al. Overview of sensors and needs for environmental monitoring. Sandia National Laboratories; 2005.
  3. Mittaland R, Bhatia MP. “Wireless sensor networks for monitoring the environmental activities” in Proc. 2010 IEEE International Conference on Computational Intelligence and Computing Research, 2010.
  4. Prabhu SB, Dhasharathi CV, Prabhakaran R, et al. Environmental monitoring and greenhouse control by distributed sensor network. International Journal of Advanced Networking and Applications. 2014; 5(5): 20-6.
  5. Tamayo J, Humphris AD, Malloy AM, et al. Chemical sensors and biosensors in liquid environment based on micro cantilevers with amplified quality factor. Ultra microscopy. 2001; 86(1):167-73.
  6. Dolin RA. “Deploying the Internet of Things,” in IEEE International Conference on International Symposium on Applications and the Internet; 2006.
  7. Abedin SF, Alam MG, Haw R, et al. A system model for energy efficient green-IoT network. In Information Networking (ICOIN). Presented in 2015 IEEE International Conference on Communications (ICC), 2015.
  8. Choudhury I , Hossain A,  Bhuiyan, SH. Issues of Connectivity, Durability, and Reliability of Sensors and Their Applications. Comprehensive Materials Processing, 2014.In: Smith IG. The Internet of Things 2012 New Horizons. [online] European Research Cluster on the Internet of Things, Halifax, UK.  Avaialble from: http://www.internet-of-thingsresearch. eu/ pdf/ IERC_ Cluster_Book_2012_WEB.pdf [Cited January 16, 2018].
  9. Rajguru S, Kinhekar S, Pati S. Analysis of internet of things in a smart environment. Analysis. 2015; 4(4): 40-3.
  10. Hashemi H, Zad TJ, Derakhshan Z,
    et al. Determination of Sequencing Batch Reactor (SBR) performance in treatment of composting plant leachate. Health Scope. 2017; 6(3): 105-9.
  11. Ebrahimi A, Hashemi H, Eslami H, et al. Kinetics of biogas production and chemical oxygen demand removal from compost leachate in an anaerobic migrating blanket reactor. J Environ Manage. 2018; 206: 707-14.
  12. El-Askary H, Gautam R, Singh RP, et al. Dust storms detection over the Indo-Gangetic basin using multi sensor data. Adv Space Res. 2006; 37(4): 728-33.
  13. Meyyappan M. Carbon nanotube‐based chemical sensors small. 2016; 12(16): 2118-29.
  14. Halmdy MS, AlFaifiy S, Al-Hajry A, et al. Disposable, visual and cost-effective PMMA sensor for UVC radiation. Sens Actuators B Chem. 2016; 229: 272-5.
  15. Amin MM, Hashemi H, Bina B, et al. Pilot-scale studies of combined clarification, filtration, and ultraviolet radiation systems for disinfection of secondary municipal wastewater effluent. Desalination. 2010; 260(1): 70-8.
  16. Xiaocong M, Jiao QX, Shaohong S. An IoT-Based System for Water Resources Monitoring and Management, 2015. 7th International Conference on Intelligent Human-Machine Systems and Cybernetics. DOI 10.1109/ IHMSC.2015.150
  17. Cheng-Liang L, Chien-Lun C. Using image processing technology for water quality monitoring system. Proceedings of the 2011 IEEE OCEANS; Santander, Spain. 6–9 June 2011.
  18. Akkaya K., Younis M. A survey on routing protocols for wireless sensor networks. Ad Hoc Netw, 3(3), 325-49. https://doi.org/ 10.1016/ j.adhoc.2003.09.010 [Cited April 9, 2015].
  19. Deepiga MT, Sivasankari MA. Smart water monitoring system using wireless sensor network at home/office. International Research Journal of Engineering and Technology. 2015; 2(04): 1305-14.
  20. Zhang D, Lindholm G, Ratnaweera H. Use long short-term memory to enhance Internet of things for combined sewer overflow monitoring. J Hydrol (Amst). 2018; 556: 409-18.
  21. Bourgeois W, Burgess JE, Stuetz RM. On‐line monitoring of wastewater quality: A review. J Chem Technol Biotechnol. 2001; 76(4): 337-48.
  22. Harremoës P, Capodaglio AG, Hellström BG, et al. Wastewater treatment plants under transient loading–performance, modelling and control. Wat Sci Tech. 2015; 27(12): 71–5.
  23. Narsaiah K, Jha SN, Bhardwaj R, et al. Optical biosensors for food quality and safety assurance: A review. Journal of food science and technology. 2012; 49(4): 383-406.
  24. Faghih Nasiri M. The use of internet of things to improve agriculture production, preserve natural resources and protect the environment. Proceedings of the third International Conference on New Findings in Agricultural Sciences, Natural Resources and the Environment, Tehran, Iran. Available from: https://www.civilica.com/ Paper-NEWCONF03-NEWCONF03_107.html. [Cited January 16, 2018].


 
Type of Study: Brief Reports | Subject: Special
Received: 2017/12/15 | Accepted: 2018/02/20 | Published: 2018/03/14

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2015 All Rights Reserved | Journal of Environmental Health and Sustainable Development

Designed & Developed by : Yektaweb