基于全栈国产化的丹江口水库智能遥感监测平台建设OA

Addressing the blind spots,delayed detection,and evidence collection difficulties associated with traditional manual patrols across the vast water area and complex shoreline of Danjiangkou Reservoir,as well as the urgent need for technological autonomy and controllability in critical water conservancy information infrastructure,this paper proposed and constructed an intelligent remote sensing monitoring platform based on a full-stack domestic substitution technology foundation and a closed-loop system featuring"automatic reception,automatic interpretation,automatic analysis,and automatic early warning"(the"Four Self"closed loop).The platform leveraged high-frequency remote sensing data from the"Jilin-1"satellites and the Huawei Kunpeng+Ascend computing infrastructure,enabling fully unattended operation throughout the entire process from image acquisition to risk response.Actual operational data showed that the platform reduced the image processing cycle by more than 60％and lowered the false-positive rate for problematic patches by 90％,enabling early detection and early warning of the"four disorders"issues in the reservoir area.This study provides a replicable reference for the digital transformation of large-scale water conservancy projects in an information technology application innovation environment.