Wireless Intelligence Sensor Array for Air Parameter Monitoring

Abstract:

This paper proposes a multiple target air parameters monitoring scheme with the help of the wireless intelligence sensor array which is built up with multiple sensors. In the paper, the design of the wireless intelligence array sensor is considered, the method to configure the wireless intelligence sensor network is introduced, and the information combination arithmetic of sensor network is provided. Then, a kind of minitype wireless multiple target air parameters monitoring system is built up. Experiment result clearly indicates that the system can accomplish the mission of monitoring multiple targets at the same time and the efficiency and reliability, make the air parameter monitoring arrives at a higher level. So the system proposed should be widely used in the domain of air parameter and toxic and harmful gas leakage monitoring.

• Periodical: Applied Mechanics and Materials (Volume 389)
• Pages: 812-818
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.389.812
• Online since: August 2013
• Authors: Jun Qiang Wang, Shu Qiang Yang, Yuan Chang Zhong
• Keywords: Air Parameters Monitoring, Multiple Target, Sensor Array

References

[1] http: /www. sdinfo. net. cn.

[2] Akyildiz, I.F.; Su, W.; Sankarasubramaniam, Y.; Cayirci, E. Wireless Sensor Networks: A Survey. Comput. Netw. 2002, 38, 393-422.

DOI: 10.1016/s1389-1286(01)00302-4

[3] Shinghal, K.; Noor, D.; Srivastava, D.; Singh, D. Wireless Sensor Networks in Agriculture: For Potato Farming. Int. J. Eng. Sci. 2010, 2, 3955-3963.

[4] Sugiura, R.; Noguchi, N.; Ishii, K. Remote-sensing Technology for Vegetation Monitoring using an Unmanned Helicopter. Biosyst. Eng. 2005, 90, 369-379.

DOI: 10.1016/j.biosystemseng.2004.12.011

[5] Gallagher, M. W, Clayborough, R., Beswick, K.M., Hewitt, C.N., etc. Assessment of a relaxed eddy accumulation for measurements of fluxes of biogenic volatile organic compounds: study over arable crops and a mature beech forest. Atmospheric Environment 34, 2887-2899, (2000).

DOI: 10.1016/s1352-2310(00)00066-2

[6] Zarco-Tejada, P.; Berni, J.; Suárez, L.; Fereres, E. A new era in remote sensing of crops with unmanned robots. SPIE Newsroom 2008, doi: 10. 1117/2. 1200812. 1438.

DOI: 10.1117/2.1200812.1438

[7] Kim, Y.; Evans, R.; Iversen, W. Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network. IEEE Trans. Instrum. Meas. 2008, 57, 1379-1387.

DOI: 10.1109/tim.2008.917198

[8] Spread-Spectrum radio modem for field point, in Meas. Automation Cat. Austin, TX: Nat. Instruments Inc., 2002, p.508–509.

[9] J. Patra, A. Kot, and G. Panda, An intelligent pressure sensor using neural networks, IEEE Trans. Instrum. Meas., vol. 49, p.829–834, Aug. (2000).

DOI: 10.1109/19.863933

[10] Anastasi, G.; Farruggia, O.; Re, G.L.; Ortolani, M. Monitoring High-Quality Wine Production using Wireless Sensor Networks. In Proceedings of the 42nd Hawaii International Conference on System Sciences, Big Island, HI, USA, 5–8 January 2009; pp.1-7.

DOI: 10.1109/hicss.2009.313

[11] M35 GPRS Modem- Data Sheet. Siemens, Munich, Germany. [Online]. Available: www. siemens. com.

[12] Yoo, S.; Kim, J.; Kim, T.; Ahn, S.; Sung, J.; Kim, D. A2S: Automated Agriculture System Based on WSN. In Proceedings of IEEE International Symposium on Consumer Electronics, Dallas, TX, USA, 20–23 June 2007; pp.1-5.

DOI: 10.1109/isce.2007.4382216