基于云模型的梯级泵站系统服役状态综合评估

为了准确客观地对高扬程梯级泵站系统服役状态进行定量化评估,以宁夏盐环定高扬程梯级泵站系统为研究对象,通过云理论模型定量化模糊性因素,同时基于云模型数字特征对指标状态进行定量化描述,并构建泵站系统服役状态评估指标体系,构建了评语层标准云模型、要素层隶属度云模型,同时采用排队理论求解指标权重,进而实现泵站系统服役状态的综合评估.结果表明:泵站系统更新改造前与更新改造后2种工况下服役状态综合评价云分别是Cb(0.6264,0.0614,0.0168),Ca(0.8421,0.1005,0.0126),改造前其服役状态处于“较好(V4)”等级,改造后服役状态处于“好(V5)”等级,验证评估结果符合实际情况.采用该方法可为梯级泵站系统服役状态评估或类似系统的预测提供有益参考.

Comprehensive evaluation of service status of cascade pumping station based on cloud model

In order to accurately and objectively quantify the service status of the high-lift cascade pumping station system, the Ningxia Yanhuan fixed-height cascade pumping station system was taken as the research object. The ambiguity factors were quantified through the cloud theoretical model and the indicator state was quantitatively described based on the cloud model digital characteristics was quantitativelg described, and an index system for evaluating the service status of the pumping station. The standard cloud model of the comment layer and the cloud model of the membership level of the element layer were constructed. At the same time, the queuing theory was used to solve the index weights, and the comprehensive evaluation of the service status of the pumping station system was rea-lized. The results show that the comprehensive evaluation clouds of the service status of the pumping station system before and after renovation are C_b(0.626 4, 0.061 4, 0.016 8)and C_a(0.842 1, 0.100 5, 0.012 6). In the ″good(V₄)″ state, the service status level after the transformation is in the ″good(V₅)″ state, verifying that the evaluation results are in line with the actual situation. It can be seen that this method can provide a useful reference for the evaluation of the service status of the cascade pumping station system or the prediction of similar systems.