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On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks

Received: 4 August 2013    Accepted:     Published: 10 September 2013
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Abstract

The embedded intelligent remote monitoring and control system of workshop based on wireless sensor networks sets the sensor technology, embedded technology, network communication technology, data processing technology, Beidou positioning technology, sensing information technology of image and weather, geographic information technology and remote sensing technology in one, forming a digital information management system that can provide a full range of electronic remote monitoring and control for the workshop. Its wireless sensor network is a self-organizing network that is constructed from a large number of sensor nodes, which sets such three technologies of sensor, micro-electromechanical system and network in one, taking the perception, collection and processing of the information of the perceive objects in the network coverage as its aim and transfering it to data processing center to provide a basis for the remote monitoring and control of the workshop. This embedded intelligent remote monitoring and control system of workshop has many advantages: high safety, low cost, intelligence, timely alarm, energy conservation, good real-time control, wide monitoring range, strong adaptability, and so on. This monitoring system can be applied to not only plant monitoring but also other fields, such as environmental monitoring, industrial control, intelligent city, intelligent home, etc, so it has important practical significance and valuable practical value for exerting network advantage and making artificial intelligence promote social progress.

Published in International Journal of Sensors and Sensor Networks (Volume 1, Issue 5)
DOI 10.11648/j.ijssn.20130105.11
Page(s) 50-54
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Embedded, Wireless Sensor Networks, Remote Monitoring and Control, Beidou Positioning System, Microprocessor, Wireless Communication

References
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[2] Liu Xiaohu, The Design and Realization of Embedded Linux Remote Monitoring System Journal of Guilin University of Electronic Technology [J] 2010, 30 (6): 577-580.
[3] CaiXuejia, Li Xu, Deng Feng, A Research on Wireless Sensor Network Remote Measurement and Control System [A] Modern Electronic Technology, 2011, (16).
[4] Chen Changshun, [A]. A Research on Senor Network-based Remote Management Platform, Computer and Digital Engineering [J], 2010, 38 (11): 76-80.
[5] Lu Yongjian, Wang Ping, Wu Jia and etc, The Transplantation of Embedded Web Server Boa and Its Application [A]. [J] Journal of Hehai University Changzhou Campus, 2005, 19 (4): 44-47.
[6] WEAVER A, LUO J, ZHANG X. Monitoring and control using the Internet and Java[C] / / Proceedings of the IEEE 1999 25th Annual Conference on Industrial Electronics Society. San Jose, CA: IEEE, 1999 (3): 1152- 1158
[7] BARBOURN, SCHMIDTG. Inertial sensor technology trends[A]. IEEE Sensors Journal[J], 2001, 1 (4): 332-339.
[8] Liu Yang, Jin Taidong, CAN Bus-based Intelligent Temperature and Humidity Data Acquisition System Measurement and Control Technology [J] based on CAN bus, 2010 (1): 126-128.
[9] Wang Fang, Intelligent control-based Fire Alarm System Design [A]. Hunan Agricultural Machinery [J], 2010, 37 (2): 44- 45
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[12] Sun Mengyu, Zhao Min, Wu Yijie and etc, ARM-based Electronic Load Network Monitoring SystemElectronic Science and Technology [J] ARM, 2010 (3): 46- 49.
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  • APA Style

    YUE Xiangyu. (2013). On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks. International Journal of Sensors and Sensor Networks, 1(5), 50-54. https://doi.org/10.11648/j.ijssn.20130105.11

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    ACS Style

    YUE Xiangyu. On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks. Int. J. Sens. Sens. Netw. 2013, 1(5), 50-54. doi: 10.11648/j.ijssn.20130105.11

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    AMA Style

    YUE Xiangyu. On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks. Int J Sens Sens Netw. 2013;1(5):50-54. doi: 10.11648/j.ijssn.20130105.11

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  • @article{10.11648/j.ijssn.20130105.11,
      author = {YUE Xiangyu},
      title = {On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks},
      journal = {International Journal of Sensors and Sensor Networks},
      volume = {1},
      number = {5},
      pages = {50-54},
      doi = {10.11648/j.ijssn.20130105.11},
      url = {https://doi.org/10.11648/j.ijssn.20130105.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20130105.11},
      abstract = {The embedded intelligent remote monitoring and control system of workshop based on wireless sensor networks sets the sensor technology, embedded technology, network communication technology, data processing technology, Beidou positioning technology, sensing information technology of image and weather, geographic information technology and remote sensing technology in one, forming a digital information management system that can provide a full range of electronic remote monitoring and control for the workshop. Its wireless sensor network is a self-organizing network that is constructed from a large number of sensor nodes, which sets such three technologies of sensor, micro-electromechanical system and network in one, taking the perception, collection and processing of the information of the perceive objects in the network coverage as its aim and transfering it to data processing center to provide a basis for the remote monitoring and control of the workshop. This embedded intelligent remote monitoring and control system of workshop has many advantages: high safety, low cost, intelligence, timely alarm, energy conservation, good real-time control, wide monitoring range, strong adaptability, and so on. This monitoring system can be applied to not only plant monitoring but also other fields, such as environmental monitoring, industrial control, intelligent city, intelligent home, etc, so it has important practical significance and valuable practical value for exerting network advantage and making artificial intelligence promote social progress.},
     year = {2013}
    }
    

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    AU  - YUE Xiangyu
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    JO  - International Journal of Sensors and Sensor Networks
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    AB  - The embedded intelligent remote monitoring and control system of workshop based on wireless sensor networks sets the sensor technology, embedded technology, network communication technology, data processing technology, Beidou positioning technology, sensing information technology of image and weather, geographic information technology and remote sensing technology in one, forming a digital information management system that can provide a full range of electronic remote monitoring and control for the workshop. Its wireless sensor network is a self-organizing network that is constructed from a large number of sensor nodes, which sets such three technologies of sensor, micro-electromechanical system and network in one, taking the perception, collection and processing of the information of the perceive objects in the network coverage as its aim and transfering it to data processing center to provide a basis for the remote monitoring and control of the workshop. This embedded intelligent remote monitoring and control system of workshop has many advantages: high safety, low cost, intelligence, timely alarm, energy conservation, good real-time control, wide monitoring range, strong adaptability, and so on. This monitoring system can be applied to not only plant monitoring but also other fields, such as environmental monitoring, industrial control, intelligent city, intelligent home, etc, so it has important practical significance and valuable practical value for exerting network advantage and making artificial intelligence promote social progress.
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Author Information
  • School of Management and Engineering, Nanjing University; Nanjing Jiangsu; 210008; PR China

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