水利工程闸门自动化控制系统设计与应用研究

Key Points

• The research aims to design an automated control system for hydraulic gates to optimize water resource allocation.
• Integrates cloud-edge architecture with sensor networks and intelligent algorithms.
• Utilizes dynamic hydrological data for effective control of water flow.
• Employs edge computing in coordination with central control.
• Implements digital twin and machine learning to devise gate operation schemes.
• Reduces response time to seconds, significantly enhancing water transport efficiency.
• Decreases water loss during distribution.
• Improves adaptability and distribution in long-distance water resource management.