排灌机械工程学报2025，Vol.43Issue(10)：1016-1022,1030,8.DOI:10.3969/j.issn.1674-8530.25.0037
基于SSA-XGBoost算法的停泵水锤防护优化
Research on pump shutdown water hammer protection optimization based on SSA-XGBoost algorithm
摘要
Abstract
Aiming at the water hammer protection problem in long distance water transmission system,an XGBoost model(SSA-XGBoost)optimized by sparrow search algorithm was proposed,and a single-objective optimization framework was constructed by combining genetic algorithm(GA).By optimizing key protection parameters such as air pressure water tank volume and air valve aperture,negative pres-sure reduction and system safety improvement were achieved.In the SSA-optimized XGBoost model,the prediction correlation coefficient can reach up to 0.989,the error is controlled within 0.3％,and the prediction performance is better than the traditional model.After GA global optimization,the mini-mum water hammer pressure is increased from-18.1 kPa to-4.7 kPa,with an improvement of 74％.Compared with the traditional modeling method,the modeling time is shortened from 780 s to 320 s,and the efficiency is improved by about 59％.This method can effectively reduce the risk of water hammer,improve the stability of system operation,and provide a generalizable strategy reference for the optimization design of protection device parameters in similar water transmission projects.关键词
长距离输水系统/水锤防护/智能算法/遗传算法/SSA-XGBoostKey words
long distance water conveyance systems/water hammer protection/intelligent algorithms/genetic algorithm/SSA-XGBoost分类
农业科技引用本文复制引用
葛冠江,侯庆志,杨旭亮,TWIZEYIMANA Abdulsalaam,黄锦林,马维成..基于SSA-XGBoost算法的停泵水锤防护优化[J].排灌机械工程学报,2025,43(10):1016-1022,1030,8.基金项目
国家自然科学基金资助项目(52079090) （52079090）
青海省中央引导地方科技发展资金资助项目(2025ZY040) （2025ZY040）
青海民族大学研究生创新项目(66M2024006) （66M2024006）
