摘要
实验分析了影响水射流路面清洗的参数及其影响趋势,并建立了清洗率的模糊预测方法.使用了基因算法,对清洗过程中的清洗压力、清洗距离、移动速度和喷嘴角度进行优化,建立了相应的多目标优化模型.通过基因算法的优化,分析了不同权重下清洗效果、生产率、能量及水量消耗的优化结果.
The parameters of affecting street surface cleaning were studied through a series of experiments, and a cleaning rate predicting model was built using fuzzy theory. A genetic algorithm was used to optimize cleaning parameters of pressure, standoff distance, traverse rate and angle of nozzles, and a multi - objective optimization model was built. Through GA optimization, the optimized objects of cleaning effectiveness, production rate, and energy and water consumption were analyzed in different weighting factors.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2006年第11期1972-1976,共5页
Journal of Harbin Institute of Technology
关键词
优化
路面清洗
水射流
基因算法
Optimization
Street surface cleaning
Waterjets
Genetic algorithm
