WANGZhijiang,NIUYuhai,ZHANGJing,et al.Intelligent Scheduling and Optimization of Water Pumping Station Based on AI Edge Computing[J].China Water & Wastewater,2026,42(12):163-169.
Intelligent Scheduling and Optimization of Water Pumping Station Based on AI Edge Computing
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第42卷
Number:
第12期
Page:
163-169
Column:
Date of publication:
2026-06-17
- Keywords:
- AI edge computing; water pumping station; intelligent scheduling; optimized operation; municipal pipeline network; energy saving and consumption reduction; data optimized model
- Abstract:
- In order to achieve efficient and intelligent management of pumping station in waterworks and promote to realize the goals of unmanned operation and energy consumption reduction, this study proposes an intelligent scheduling and optimization method based on AI edge computing technology. This method involves deploying edge computing devices at key locations within the pumping station to collect real-time operational parameters such as water tank levels, flow rates, and pressure. The data is then transmitted to a central server for processing and analysis. In the study, a data optimized model is developed, which automatically adjusts the operation status of water pumps, including on/off control and operating frequency, based on the analysis results. This ensures the stability of pressure control points in the municipal pipeline network and achieves energy-saving goals. Experimental results show that compared to traditional manual scheduling methods, the self-adaptive scheduling method significantly improves the pumping station’s operational efficiency and energy utilization, reduces labor costs, and enhances stability and reliability of the system.
Last Update:
2026-06-17