Wastewater Monitoring System in Industrial Workshop Based on Wireless Sensor Network

Authors

  • Minhai Zhang Hunan Vocational College of Railway Technology
  • Shuangxiang She Powerchina Zhongnan Engineering Co Ltd.

DOI:

https://doi.org/10.3991/ijoe.v13i03.6860

Keywords:

wireless sensor network, wastewater monitoring system, ZigBee network, PH parameters

Abstract


In this paper, regarding the complexity of polluted water, through analyzing the water environment and its surrounding factors, a water quality monitoring system architecture based on wireless sensor networks is proposed. Firstly, the water quality parameters collected by the sensor are processed by the signal conditioning circuit and then transmitted to the sensor nodes so as to realize the data acquisition of the water quality parameters. Afterwards, through the function analysis of each node in the ZigBee network, the hardware design and software program design of the network coordinator node and the routing node are completed. After joint debugging of the hardware and software, point-to-point communication and system networking of the ZigBee network are achieved. Finally, the results of experiments show that the system can realize the data acquisition and wireless transmission of the temperature and PH parameters of different solutions. Furthermore, each node realizes its own function and meets the design requirements of the system.

Author Biographies

Minhai Zhang, Hunan Vocational College of Railway Technology

Minhai Zhang is a lecturer with Hunan Railway Professional Technology College. He is mainly engaged in the study of Electronic communication.

Shuangxiang She, Powerchina Zhongnan Engineering Co Ltd.

Shuangxiang is a master of Powerchina Zhongnan Engineering Co Ltd. He is mainly engaged in communication technology research.

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Published

2017-03-28

How to Cite

Zhang, M., & She, S. (2017). Wastewater Monitoring System in Industrial Workshop Based on Wireless Sensor Network. International Journal of Online and Biomedical Engineering (iJOE), 13(03), pp. 63–74. https://doi.org/10.3991/ijoe.v13i03.6860

Issue

Vol. 13 No. 03 (2017)

Section

Papers

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