Construction of Smart Water Cycle System in Universities Based on Sponge City Concept: A Case Study of Xiongan New Campus

Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i1.3758

Xinmiao Wang

China University of Geosciences (Beijing), Beijing 100083, China

Abstract

This paper explores an innovative approach to constructing a smart water cycle system in university campuses based on the Sponge City concept. By integrating Low Impact Development (LID) facilities with Artificial Intelligence (AI) hydraulic models, a dynamic optimization system for the entire "infiltration-storage-treatment-reuse" process was developed. The system addresses the peak runoff calculation deviation in traditional designs through real-time soil permeability monitoring via IoT sensor networks and establishes a dynamic balance algorithm among rainfall intensity, surface runoff, and detention tank capacity. The results demonstrate a significant improvement in annual runoff control rate from 75% to over 90%.

Keywords

Sponge City; Low Impact Development (LID); Artificial Intelligence (AI); smart water cycle system; new campus

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References

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