WSN-Based Intelligent Inspection Monitoring and Positioning System in Substation

Ai Na Hu; Hao Liu

doi:10.4028/www.scientific.net/AMM.602-605.2440

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605WSN-Based Intelligent Inspection Monitoring and...

WSN-Based Intelligent Inspection Monitoring and Positioning System in Substation

Abstract:

To ensure the staff’s security and supervise their work in order, an intelligent inspection monitoring and positioning system in substation was analyzed. Microwave sensor is used to monitor the high-risk work area in substation. When the microwave start work, the warning equipment will alarm anyone closed to the monitoring work area .The terminal will get the staff’s specific location according to regional positioning algorithm. The system can draw the inspection track and display it in real time. It improves the safety of substation.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2440-2444

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2440

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Online since:

August 2014

Authors:

Ai Na Hu*, Hao Liu

Keywords:

Inspection Monitoring, Regional Positioning Algorithm, Substation, Wireless Sensor Network (WSN)

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* - Corresponding Author

References

[1] Wang Yangguang , Yin xianggen, You dahai, Application of wireless sensor networks in Smart Grid[J], power System technology, 2010, 34(5): 7-11.

Google Scholar

[2] Tashtarian F, Tolou Honary M, Mazinani M, Haghighat A. et al. A new level based Clustering scheme for wireless sensor networks[A]. IEEE/ACS International Conf. On computer systems and Applications[C]. newYork: IEEE communications society, 2008, 284-290.

DOI: 10.1109/aiccsa.2008.4493547

Google Scholar

[3] Gupta H, Navda V, Das S, et al. Energy-efficient gathering of correlated data in sensor networks[J]. ACM Trans on Sensor Networks, 2008, 4(1): 25-34.

DOI: 10.1145/1325651.1325655

Google Scholar

[4] HU Aina, Wang Huanhuan. et al. Design of WSN-Based Remote Monitoring System for Environmental Parameters in Substation. IEEE International Conference on Smart Grid and Clean Energy Technologies. Chengdu, 2011. 9, pp.418-421.

DOI: 10.12720/sgce.2.1.113-118

Google Scholar

[5] B. Randell. System structure for software fault tolerance. IEEE Trans. Software Engineer, 2007: 421-430.

Google Scholar