微型电脑应用2025，Vol.41Issue(8)：30-35,40,7.
基于大数据的排水泵站韧性调度策略研究
Research on Resilience Scheduling Strategy of Drainage Pumping Station Based on Big Data
摘要
Abstract
This study aims to address the resilience problems faced by drainage pumping station system under low-water-level operating condition.This study optimizes the switching levels of individual pumping station to meet the demands of low-water-level operation.This study conducts an in-depth investigation into the coordinated control of pumping station groups to enhance the resilience of the overall system.Through the sampling and analysis of pump station operational data,this study identifies certain data quality issues,such as the absence of multiple water level and flow data during specific date ranges,as well as the null values of some pumping machine status data.This study addresses these issues to ensure the accuracy and reliability of this study.This study optimizes the switching level settings of individual pumping station and designs a coordinated control scheme for grouping pumping stations.These grouping schemes are determined based on correlation matrices to ensure that pumping stations within each group exhibit similar operational characteristics.Through these improvement measures,this study effec-tively addresses potential issues such as odor and cavitation,thereby enhancing the resilience level of the drainage pumping sta-tion system.The proposed strategy provides effective solutions to address challenges under different rainfall intensities,offer-ing robust support for the stable operation and reliability of pumping station systems.关键词
排水系统/数据挖掘/相关性分析/调度策略Key words
drainage system/data mining/correlation analysis/scheduling strategy分类
信息技术与安全科学引用本文复制引用
戴勇华,王景成..基于大数据的排水泵站韧性调度策略研究[J].微型电脑应用,2025,41(8):30-35,40,7.基金项目
2022年度上海城投科技创新计划项目(CTKY-ZDZX-2022-008) （CTKY-ZDZX-2022-008）
