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出 处:《传感技术学报》2007年第8期1888-1893,共6页Chinese Journal of Sensors and Actuators
基 金:国家自然科学基金资助项目(50078048);教育部"新世纪优秀人才支持计划"资助项目(NCET-04-0525)
摘 要:针对给水管网水质传感器有可能失效的情况,提出了考虑传感器可靠性的多目标优化选址模型(SPM-R).该模型在最大限度监测突发或者蓄意的污染事件之外,期望传感器选址具有一定的可靠性,即若某一传感器发生故障,存在其它传感器能够继续监测污染事件,并且由此造成的监测时间增加值在允许范围之内.结合一管网算例,首先利用EPANET软件随机模拟管网节点被注入污染物后各个节点污染物浓度变化情况,得到监测时间矩阵,然后,基于非支配排序遗传算法-II(NSGA-II)详细阐述了SPM-R模型的求解过程,并对计算结果进行了参数敏感性分析.To solve the malfunction of sensor, a multi-objective optimization model called SPM-R was proposed to the sensor placement in water distribution systems, which considered the reliability of sensor placement. SPM-R tried to tradeoff between maximizing detect likelihood of accidental or deliberate con- tamination events and maximizing the reliability of sensor placement. If one sensor was malfunctioned, other sensors could continue to detect the contamination event and the resulting increment of detect time was within allowed bound. With the help of a case, the contaminant concentration at each junction in the network was simulated using EPANET when one junction was randomly chosen to be intentionally injected of contaminant, then a matrix called detect time was detailed illustrated based on Non-Dominated analysis of parameter was also implemented. matrix was generated. After that, the solution procedure Sorted Genetic Algorithm-Ⅱ (NSGA-Ⅱ) and the sensitive
关 键 词:给水管网 可靠性 优化选址 传感器 非支配排序遗传算法-Ⅱ(NSGA-Ⅱ)
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