The urban water conservancy command and dispatch regulationbased on traditional pure cloud computing architecture

has problems such as significant delay

high bandwidth pressure

poor transmission stability

and insufficient concurrent computing power in the centralized data processing process. While edge computingconducts intelligent data processing near information sources to reduce delay

improve information processing efficiency and enhance information security and privacy. This article designs an urban intelligent water conservancy command and regulation system based on edge computing technology

establishes an intelligent prediction method based on edge computing and a cloud side collaborative water conservancy regulation management method

improves the response speed and reliability of the end of the water conservancy regulation system

and reduces the system's requirements for cloud server computing power and network bandwidth

which can effectively meet the design requirements of intuitive and efficient analysis

scientific judgment

and intelligent regulation of urban water conservancy in scenarios such as flood prevention and control

and running water management.