A Framework of WSN and LabVIEW Based Data Acquisition System for Chemical Equipment Monitoring

Abstract:

To overcome disadvantages of complex wiring and difficult maintenance for traditional wired sensor networks, a data acquisition system for chemical equipment monitoring based on wireless sensor network has been put forward. The proposed data acquisition system has functions of real-time data acquisition, transmission, storage, query and remote sharing of history data, and provides favorable technical supports for real-time chemical equipment monitoring. First, the system framework, EMBV210 hardware are introduced. Then, in the LabVIEW platform, the data acquisition system is developed, and the remote sharing of equipment operating status by DataSocket is realized. Finally, the proposed data acquisition system is simulated and verified. The work provides a feasible way for chemical equipment monitoring and useful references for the development of other similar integrated measurement and control systems.

• Periodical: Applied Mechanics and Materials (Volume 331)
• Pages: 370-375
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.331.370
• Online since: July 2013
• Authors: Peng Bin Cao, Jia Qiang Hu, Xu Bing Chen, Yin Wang, Rui Song
• Keywords: Chemical Equipment Monitoring, Data Acquisition System, LabVIEW, Wireless Sensor Network (WSN)

References

[1] J. Yick, B. Mukherjee, D. Ghosal. Wireless sensor network survey[J]. Computer Networks. 2008, 52(12): 2292-2330.

DOI: 10.1016/j.comnet.2008.04.002

[2] D. Puccinelli and M. Haenggi. Wireless Sensor Networks: Applications and challenges of ubiquitous sensing [J]. IEEE Circuits and Systems Magazine, 2005, 5(3): 19-29.

DOI: 10.1109/mcas.2005.1507522

[3] M. Simplício, P. Barreto, C. Margi, et al. A survey on key management mechanisms for distributed Wireless Sensor Networks [J]. Computer Networks, 2010, 54(15): 2591-2612.

DOI: 10.1016/j.comnet.2010.04.010

[4] P. Cao, J. Hu. Monitoring system of running condition of chemical equipments based on wireless sensor network[J]. Journal of Wuhan Institute of Technology, 2012, 34(7): 50-53.

[5] B. Lai, H. Jia. Development of fault diagnosis system for telemetry equipment based on the virtual instrument technology[J]. Applied Mechanics and Materials, 2012, 128-129: 571-574.

DOI: 10.4028/www.scientific.net/amm.128-129.571

[6] B. Xie, H. Shen, M. Chen. Design and application of database for photovoltaic operating based on LabVIEW[J]. Acta Energiae Solaris Sinica, 2010, 31(8): 994-998.

[7] N. Zhai, J. Su, Y. Liu. Networked virtual instrument testing system for automotive comprehensive performance[J]. Journal of Jiangsu University (Natural Science Edition), 2006, 27(5): 417-421.

[8] Y. Yu, Y. Chen, X. Song. Design of the remote liquid-level real-time monitoring system based on virtual instrument[J]. Advanced Materials Research, 2012, 422: 468-471.

DOI: 10.4028/www.scientific.net/amr.442.468

[9] C. Wu,Y. Gao, Y. Guo. Study on remote condition monitoring and fault diagnosis system for rotating machinery based on LabVIEW[J]. Advanced Materials Research, 2012, 430-432: 1939-1942.

DOI: 10.4028/www.scientific.net/amr.430-432.1939