Construction and Engineering Practice of IoT Management and Control System for Sewage Treatment in Mountainous Counties——Taking the Intelligent Transformation of Wencheng Jingyuan Sewage Treatment Co., Ltd. as an Example

Tingting Zhao

doi:10.71204/jczbfz95

Authors

Tingting Zhao Wencheng Jingyuan Sewage Treatment Co., Ltd Author

DOI:

https://doi.org/10.71204/jczbfz95

Keywords:

Internet of Things, Sewage Treatment, Edge Computing, LoRa Communication, Smart Water Service, Intelligent Regulation

Abstract

Sewage treatment facilities in mountainous counties of southern Zhejiang are confronted with typical industry pain points including scattered stations, complex terrain, weak communication conditions, drastic fluctuation of influent water quality caused by rainfall, and high manual operation and maintenance costs. The traditional stand-alone automatic control and manual duty mode fail to meet the refined, standardized and low-carbon operation requirements of modern sewage treatment. Based on the intelligent transformation project of Wencheng Jingyuan Sewage Treatment Co., Ltd., this paper constructs an integrated industrial Internet of Things (IoT) management and control system consisting of a perception layer, an edge transmission layer and a cloud platform application layer. Adopting LoRa and 5G hybrid communication, edge data preprocessing and fuzzy PID adaptive regulation technology, the system solves the problems of data islands, delayed regulation and inefficient operation and maintenance in mountainous sewage plants. Engineering practice shows that the system can realize full-process real-time monitoring, intelligent linkage regulation and remote operation and maintenance of sewage treatment, effectively improve the stability of effluent compliance, and reduce equipment energy consumption and labor costs. The research results can provide a practical engineering reference for the intelligent upgrading of IoT systems for small county-level sewage treatment plants in mountainous areas of southern Zhejiang.

References

Chen, W., & Li, J. (2023). Fuzzy PID-based adaptive aeration optimization for energy saving in wastewater treatment. Journal of Cleaner Production, 412, 137459.

Guo, S., & Zhang, Q. (2023). 5G–LoRa hybrid communication technology for remote monitoring of scattered sewage facilities. Applied Sciences, 13(18), 10256.

Jiang, Z. J., & Sun, Y. G. (2026). Research and application of intelligent remote networked management and monitoring system for urban sewage treatment facilities. Water Pollution and Treatment, (1), 11–19.

Li, H. (2025). Research on the application of 5G + LoRa hybrid communication in monitoring decentralized sewage stations in mountainous areas. Internet of Things Technologies, (6), 78–81.

Liu, Y., & Chen, X. (2023). Edge computing-enabled intelligent control system for urban sewage treatment plants. IEEE Access, 11, 89672–89681.

Wang, J. (2024). Research on IoT intelligent regulation of aeration systems in sewage treatment based on a fuzzy PID algorithm. Chinese Journal of Environmental Engineering, 18(5), 1432–1440.

Yang, Z., & Zhao, W. B. (2026). Research on an IoT water-quality monitoring system based on Niagara and LoRa. Computer Applications and Software, 43(2), 102–108.

Zhang, H., & Wang, L. (2024). Low-power LoRa network design for distributed water-quality monitoring in mountainous rural areas. Sensors, 24(5), 1428.

Zhang, L. (2024). Application of industrial IoT edge computing in the automatic control of municipal sewage plants. Water & Wastewater Engineering, 60(8), 112–117.

Zhou, M., & Xu, B. (2024). Digital twin and IoT-integrated smart management framework for municipal sewage treatment. Journal of Water Process Engineering, 59, 104892.