Research and Practice on the Smart Reservoir Construction of the Nuozhadu Hydropower Station

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Authors: Kong Ming, Xiaoxuan Chen, Jiulong He, Wuhua Su, Shangrong Yang
Cited by: 0

Abstract

The development of smart power plants is an inevitable response to rising energy demand, environmental pressures, technological advancements, market competition, energy transitions, and increasingly stringent safety requirements. By leveraging intelligent technologies, smart power plants can enhance efficiency, reduce emissions, improve competitiveness and safety, and promote sustainable development in the power industry. The smart reservoir system of the Nuozhadu Hydropower Station is built upon a multi-source monitoring data integration platform, innovating in current monitoring and data acquisition technologies. It explores a hybrid diagnostic model that combines data-driven and knowledge-driven approaches and establishes a complete technical system for risk perception, trend forecasting, and hierarchical early warning of geological hazards and water environment changes in the reservoir area. The system significantly enhances the integrated management and emergency decision-making capabilities of hydropower reservoir operations. It primarily encompasses reservoir monitoring, safety management in near-dam waters, informatized management of reservoir resettlement and poverty alleviation. Ultimately, it achieves integrated, digitalized, and intelligent reservoir operation and maintenance.

Fields of Study & Subjects

Dam Engineering and Safety Environmental Monitoring and Data Management Hydropower Displacement Environmental Impact

Publication details

Journal / source
Lecture notes in civil engineering
Pages
461–468
Publication date
1 January 2026
Language
EN