According to the report “Global Health Risks of 2004” issued by WHO (World Health Organization) in Geneva 2009 (WHO, 2012), the mortality rate of the diseases and cause of death which results from the smoke produced by burning solid fuel is ranked tenth, occupying 3.3% of the global amounts, and the DALYs (Disability Adjusted Life Years) is ranked the ninth, occupying 2.7% of the world. Once the pollution occurred in an insufficient ventilation location, the womankind and children will be the most directly affected; therefore, we hoped to focus the measurement environment on indoor surroundings in this paper. This paper proposes a pointing at several kinds of indoor pollutants and integrating multigas sensors, which includes carbon monoxide, carbon dioxide total volatile organic compounds, and so forth. Our paper combines gas sensors with WSN (Wireless Sensor Networks) nodes; we provide users with optional monitoring subjects for constructing and also adapt ZigBee and Wi-Fi modules to get united with uploading real-time sensor messages. Moreover, for the reason of decreasing installation cost of sensors and setting up easily, this paper builds a cloud data-viewing platform additionally, enabling users to observe air quality through the cloud server everywhere. 1. Introduction Though the technology progress is in thriving and robust, human’s overexploitation results in natural disasters to happen frequently; it is an extreme threaten to our living environment, so that awareness of environmental protection is rising recently, and the environmental protection issues get much more attention; one of them is air pollution. The diseases are caused by indoor air pollution such as acute lower respiratory infections, chronic obstructive pulmonary disease, lung cancer, asthma, otitis media, nasopharyngeal cancer, and cataract and cardiovascular diseases; especially the first three items are the most in common. Acute lower respiratory infections usually occurred in young children; according to statistics, there are at least two millions of children who died for this illness every year. In the Middle East, lots of women suffered from chronic obstructive pulmonary disease because of exposing in smoke for a long time. Except for common respiratory tract diseases, there is another illness called “Sick Building Syndrome,” usually taking place in large building with air condition, but the syndrome only appears when employee stays in office, including dizziness, coughing, and dry-feeling; they will ease after leaving [1]. They are caused by exposure of the high CO2
References
[1]
C. Roelofs, L. S. Azaroff, C. Holcroft, H. Nguyen, and T. Doan, “Results from a community-based occupational health survey of Vietnamese-American nail salon workers,” Journal of Immigrant and Minority Health, vol. 10, no. 4, pp. 353–361, 2008.
[2]
C. Davidson, Marine Notice: Carbon Dioxide: Health Hazard, Australian Maritime Safety Authority, Canberra, Australia, 2003.
[3]
C. Roelofs and T. Do, Exposure Assessment in Nail Salons: An Indoor Air Approach, International Scholarly Research Network Public Health, 2012.
[4]
L. J. Goldin, L. Ansher, A. Berlin, et al., “Indoor air quality survey of nail salons in Boston,” Journal of Immigrant and Minority Health, 2013.
[5]
A. Tsigonia, A. Lagoudi, S. Chandrinou, A. Linos, N. Evlogias, and E. C. Alexopoulos, “Indoor air in beauty salons and occupational health exposure of cosmetologists to chemical substances,” International Journal of Environmental Research and Public Health, vol. 7, no. 1, pp. 314–324, 2010.
[6]
D. D. Chaudhary, S. P. Nayse, and L. M. Waghmare, “Application of wireless sensor networks for greenhouse parameter control in precision agriculture,” International Journal of Wireless & Mobile Networks (IJWMN), vol. 3, no. 1, pp. 140–149, 2011.
[7]
Y. Ma, M. Richards, M. Ghanem, Y. Guo, and J. Hassard, “Air pollution monitoring and mining based on sensor Grid in London,” Sensors, vol. 8, no. 6, pp. 3601–3623, 2008.
[8]
P. Ku?akowski, E. Calle, and J. L. Marzo, “Performance study of wireless sensor and actuator networks in forest fire scenarios,” International Journal of Communication Systems, 2012.
[9]
J. Panchard, Wireless sensor networks for marginal farming in India [Ph.D. thesis], Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2008.
[10]
J. Kwon, G. Ahn, G. Kim, J. C. Kim, and H. Kim, “A study on NDIR-based CO2 sensor to apply remote air quality monitoring system,” in Proceedings of the ICROS-SICE International Joint Conference 2009 (ICCAS-SICE '09), vol. 33, pp. 1683–1687, August 2009.
[11]
W. Zhengzhong, L. Zilin, L. Jun, and H. Xiaowei, “Wireless sensor networks for living environment monitoring,” in Proceedings of the WRI World Congress on Software Engineering (WCSE '09), vol. 3, pp. 22–25, May 2009.
[12]
T.-Y. Lai, The Development of a Micro-Scale Air Quality Monitoring System Based on WSNs, National Taiwan University, Department of Bio-Industrial Mechatronic Engineering, Taipei, Taiwan, 2009.
[13]
K. K. Khedo, R. Perseedoss, and A. Mungur, “A wireless sensor network air pollution monitoring system,” International Journal of Wireless & Mobile Networks (IJWMN), vol. 2, no. 2, pp. 31–45, 2010.
[14]
V. Jeli?i?, M. Magno, G. Paci, D. Brunelli, and L. Benini, “Design, characterization and management of a wireless sensor network for smart gas monitoring,” in Proceedings of the 4th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI '11), pp. 115–120, June 2011.
[15]
C.-B. Tzeng and T. Wey, “Design and implement a cost effective and ubiquitous air quality monitoring system based on ZigBee wireless sensor network,” in Proceedings of the 2nd International Conference on Innovations in Bio-inspired Computing and Applications (IBICA '11), pp. 245–248, December 2011.
[16]
H. -C. Lu, The Development of an Air Quality Monitoring System for the Metropolitan Area Based on the Wireless Sensor Network Technology, National Taiwan University, Department of Bio-Industrial Mechatronic Engineering, Taipei, Taiwan, 2011.
[17]
S. Devarakonda, P. Sevusu, H. Liu, R. Liu, L. Iftode, and B. Nath, “Real-time air quality monitoring through mobile sensing in Metropolitan areas,” in Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing (UrbComp '13), 2013.
[18]
S.-K. Noh, K.-S. Kim, and Y.-K. Ji, “Design of a room monitoring system for wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 2013, Article ID 189840, 7 pages, 2013.
[19]
J. Zhang, G. Song, H. Wang, and T. Meng, “Design of a wireless sensor network based monitoring system for home automation,” in Proceedings of the International Conference on Future Computer Sciences and Application (ICFCSA '11), pp. 57–60, June 2011.
[20]
K. S. Kim, J. G. Lee, S. S. Ahn, and J. Lee, A Study on USNMulti-Modal Sensor Fusion Technique for Intelligent Air Conversions Digital Home Appliances, MITA, 2010.
[21]
K. S. Kim, J. Z. Song, C. Zhang, T. S. Yun, and S. K. Noh, “A study on home indoor environment system,” in JCICT & the 1st Yellow International Journal of Distributed Sensor Networks 7 Sea, Proceedings of the International Conference on Ubiquitous Computing (YESICUC '11), 2011.
[22]
M. M. Rahman, M. I. Abdullah, and M. S. Hossain, “Level based path selection technique in large WSN for hierarchical architecture,” International Journal of Advanced Science & Technology, vol. 32, pp. 33–43, 2011.
[23]
H. Xianzhe, “Room temperature and humidity monitoring and energy-saving system,” in Proceedings of the 6th International Conference on Computer Science and Education (ICCSE '11), pp. 537–540, August 2011.
[24]
S. Hwang and D. Yu, “Remote monitoring and controlling system based on ZigBee networks,” International Journal of Software Engineering and Its Applications, vol. 6, no. 3, pp. 35–42, 2012.
[25]
J. Yap and Y. H. Noh, “A ZigBee-based home control system using OSGi management platform,” International Journal of Smart Home, vol. 6, no. 4, pp. 15–28, 2012.
[26]
H. Zhang and Y. Liu, “Study and design of adaptive environment control system for mobile base stations,” in Proceedings of the International Conference on Control Engineering and Communication Technology (ICCECT '12), pp. 426–429, Liaoning, China, December 2012.
[27]
WHO, “Global health risks,” 2012, http://www.who.int/healthinfo/global_burden_disease/global_health_risks/en/index.html.