基于粗糙集技术的绞吸船挖掘黏性土生产率预测

Prediction of productivity of cohesive soil excavated by cutter suction dredge based on rough sets theory

挖泥船是疏浚工程中应用最广泛的疏浚设备,其生产效率直接影响整个工程的效率。本文采用粗糙集技术建立了一个船舶生产率预估模型,并针对绞吸船挖掘黏性土这一工况,开展模型验证性试验。根据实船数据与经验研究成果,分别采用土质参数与土质等级两种方式表征土质变化情况,并对两种方式下生产率预估结果进行对比。结果表明:两种方式下生产率误差均在10%以下,采用粗糙集技术建立生产率预估模型的方法可行;基于土质等级建模得到的生产率预估值更接近实际生产率。

Dredger is the most widely used dredging equipment in dredging engineering, and its productivity directly affects the efficiency of the dredging process. This paper establishes a prediction model of dredger productivity by using rough sets theory, and the model validation experiment is carried out for the working condition of cutter suction dredger excavating cohesive soil. According to the real ship data and empirical research results, soil parameters and soil grade are used to characterize the soil change, and the productivity prediction results under the two methods are compared. The results show that the productivity errors of the both methods are less than 10%,and the method of establishing productivity prediction model using rough set technology is feasible. The predicted value is calculated based on soil grade is much closer to the actual value.