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Poster P-5-4-6: Design of intelligent rainfall trend prediction system based on Internet of Things

XVIII IWRA World Water Congress Beijing China 2023
Sub-theme 5: Establishing Sustainable Water Infrastructures
Author(s): Yuxiao Li , Yongbing Xu
Yuxiao Li, Yongbing Xu,Shandong Survey and Design Institute of Water Conservancy CO.,LTD
Poster: PDF

Abstract

Objectives

In this paper, a real-time rainfall prediction system was established by analyzing and studying the rainfall data of each station in the hydrological monitoring points of small and medium-sized reservoirs in Shandong Province.The functions realized by the system include real-time data storage, rainfall trend prediction, spatial analysis of disaster range, early warning prompt, reservoir optimization and scheduling, etc.

Conclusions

Through the analysis and processing of real-time rainwater data, the system improves the accuracy of rainfall forecast information, and applies it to the scheduling and optimization of reservoirs, provides technical indicators for the safe operation of reservoirs and flood prevention and disaster reduction, and enhances the pertinence and predictability of flood control work. Due to the complexity of the rainfall prediction process, more predictors should be further selected for research in the future.

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