• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
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HOME > Archive > 2024 > Volume 15 Number 3 (2024) >
IJIMT 2024 Vol.15(3): 70-74
doi: 10.18178/ijimt.2024.15.3.965

A Study on the Impact of IoT Technology on the Operation Management of the Wastewater Management Sector

Xia Wu
China Water Environment Group Limited, Beijing, China
Email: xiawu1002@gmail.com (X.W.)

Manuscript received March 1, 2024; revised April 12, 2024; accepted June 23, 2024; published September 14, 2024

Abstract—The research aims to analyze the impact of the Internet of Things (IoT) technology on the operation of the wastewater management (WWM) sector. The study results show that IoT technology could enhance operational process innovation in WWM. It is mainly reflected in wastewater pipeline network management, water quality monitoring, risk monitoring, and equipment maintenance. Through field data collection, transmission, fault detection, and decision-making support, it replaces the conventional manual operation, simplifies the workflow, and improves efficiency. In addition, IoT technology not only improves operation quality, and dependability, and reduces costs, but also improves the environment and water hygiene from the social level. In terms of risk management, IoT technology improves the accuracy and timeliness in hazardous sources monitoring, handling, and potential hazards prediction, to improve the risk management capability. Finally, IoT technology can enhance “demand” management by WWM authorities and provide accurate decision support for base capacity setting, also can solve the constraints of WWM system capacity to improve supply capacity.

Keywords—IoT technology, Wastewater management system, Operation management

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Cite: Xia Wu, "A Study on the Impact of IoT Technology on the Operation Management of the Wastewater Management Sector," International Journal of Innovation, Management and Technology vol. 15, no. 3, pp. 70-74, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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