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Wireless Machine to Machine Monitoring Using Cross-Platform Smart Phone for District Heating

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Abstract

Central heating is a sophisticated process, and many factors influence the heating loading for boilers, without comprehensively monitoring and analysis, it is difficult to find out potential hazards of substation heating supplying electrical equipment. This paper presents wireless machine to machine remote substation monitoring system for district heating system, at first, with PhoneGap, which is a free and open source framework that can realize the cross-platform, native development can be substituted using web development technology, and the code of the web app can be transplanted to different mobile operation systems. Under the cross-platform framework, the basic application interface is created using HTML5, CSS3 and JavaScript. Moreover, the server obtains data from database and sends the data in a XML file to Client. Then AJAX and DOM are used to read the file and obtain all the elements in the tree structure of XML. Finally, the monitoring data for district central heating system are showed in different kinds of scenarios, which are real-time curve view, graphical view and tabular view. Finally, the machine to machine performances are measured and analyzed.

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References

  1. Peulic, A., Dragicevic, S., Jovanovic, Z., & Krneta, R. (2013). Flexible GPS/GPRS based system for parameters monitoring in the district heating system. International Journal of Computer Communication and Control, 8(1), 105–110.

    Article  Google Scholar 

  2. Cubells-Beltran, M. D., Reig, C., Martos, J., Torres, J., & Soret, J. (2012). Limitations of magnetoresistive current sensors in industrial electronics applications. International Review of Electrical Engineering (IREE), 6(1), 423–429.

    Google Scholar 

  3. Fang, L. H., Wu, Z. Z., Kang, R. X., & Wei, L. J. (2010). Integrated monitoring and management system for heat supplying process. In Proceedings of IEEE international conference on information and automation (ICIA) (pp. 2065–2069).

  4. Bo, C., Xin, C., Chengwen, Z., Ying L., & Junliang, C. (2014). Wireless machine to machine based mobile substation monitoring for district heating system. International Journal of Distributed Sensor Networks. 2014, Article ID 242907.

  5. Bo, Cheng, & Zesan, Wei. (2014). RESTful M2 M gateway for remote wireless monitoring for district central heating networks. Sensors, 14, 22447–22470.

    Article  Google Scholar 

  6. Kezunovic, M., & Popovic, T. (2007). Substation data integration for automated data analysis systems. In IEEE PES general meeting, Tampa, FL, pp. 1–6.

  7. Mastacan, I., Olah, C., & Dosoftei, C. (2007). District heating substations water temperature control based on soft computing technology. In 6th international conference on electromechanical and power systems (pp. 172–175).

  8. Haiwen, S., Lin, D., Xiangli, L., & Yingxin, Z. (2009). Energy-saving potential of seawater-source heat pump district heating system over boiler-house district heating system. In International conference on energy and environment technology.

  9. Van Deventer, J., Gustafsson, J., Eliasson, J., Delsing, J., & Makitaavola, H. (2010).Independence and interdependence of systems in district heating 2010. In 4th annual IEEE systems conference (pp. 267–271).

  10. Gustafsson, J. (2009). Distributed wireless control strategies for district heating substations, Luleå University of Technology, Luleå, Sweden, Licentiate Thesis.

  11. Kaur, N., McLeod, C. S., Jain, A., Harrison, R., Ahmad, B., Colombo, A. W., & Delsing, J. (2013). Design and simulation of a SOA-based system of systems for automation in the residential sector. In Proceedings of IEEE international conference on industrial technology (pp. 1976–1981).

  12. Perera, Charith, Zaslavsky, Arkady, Christen, Peter, & Georgakopoulos, Dimitrios. (2014). Sensing as a service model for smart cities supported by internet of things. Transactions on Emerging Telecommunications Technologies, 25(1), 81–93.

    Article  Google Scholar 

  13. Antón-Haro, Carles, Lestable, Thierry, Lin, Yonghua, Nikaein, Navid, Watteyne, Thomas, & Alonso-Zarate, Jesus. (2013). Machine-to-machine: An emerging communication paradigm. Transactions on Emerging Telecommunications Technologies. Volume, 24(4), 353–354.

    Article  Google Scholar 

  14. Meybodi, S. A., Dohler, M., Skarpour, A. N., Bendtsen, J., & Nielsen, J. D. (2013). The feasibility of communication among pumps in a district heating system. IEEE Antennas and Propagation Magazine, 55(3), 118–134.

    Article  Google Scholar 

  15. IBM. (2012). HTML5, Hybrid or native mobile app development. Worklight-Extend Your Business: 2–13.

  16. PhoneGap. Retrived June 23, 2013. http://phonegap.com/

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Acknowledgments

This research is supported by the National Natural Science Foundation of China under Grant No. 61132001); National High-tech R&D Program of China (863 Program) under Grant No. 2013AA102301; Program for New Century Excellent Talents in University (Grant No. NCET-11-0592).

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Authors and Affiliations

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Cheng Bo

  2. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Zhao Shuai

  3. Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China

    Tang Haina

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  1. Cheng Bo
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  2. Zhao Shuai
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  3. Tang Haina
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Correspondence to Tang Haina.

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Bo, C., Shuai, Z. & Haina, T. Wireless Machine to Machine Monitoring Using Cross-Platform Smart Phone for District Heating. Wireless Pers Commun 83, 1229–1250 (2015). https://doi.org/10.1007/s11277-015-2447-6

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  • DOI: https://doi.org/10.1007/s11277-015-2447-6

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