城市生活垃圾渗滤液污染监测方法研究与仿真  

Research and Simulation on the Monitoring Method of Urban Life Garbage Refuse Leachate Pollution

作　　者：孟彩英[1] 张灿[1] 

机构地区：[1]河北经贸大学,河北石家庄050061

出　　处：《计算机仿真》2015年第4期227-230,264,共5页Computer Simulation

基　　金：河北省科技厅软科学计划项目"河北省城市生活垃圾处理存在的问题及对策研究"(13453817)

摘　　要：针对城市生活垃圾渗滤液污染监测防治问题,由于垃圾沉积后,渗滤液会渗透到深层土壤形成污染,渗滤液在与地下环境接触中,地下的矿物质和水分子会迅速被破坏,影响进行污染的导电性,使得渗滤液导电率发现明显变化。传统的方法是通过渗滤液的快速导电特征进行污染检测的,一旦渗滤液导电率受到干扰,电流波动会导致检测准确率降低。提出用人工免疫算法的无线传感网络信号优化监测方法。在地下铺设传感网络,运用空间理论获取渗滤液信息源和传感节点变化的关联性,计算导电能量指数,利用人工免疫算法对模型进行优化求解,获取最优结果,实现城市生活垃圾渗滤液污染的有效监测。实验结果表明,利用改进算法进行城市生活垃圾渗滤液的污染监测,能够提高监测的准确性。Urban Life garbasge refuse leachate pollution monitoring is an important means of prevention and control of pollution. The traditional way is through the rapid conductive characteristics of leaehate pollution detection, once the leachate conductivity is disturbed, current fluctuations will lead to lower detection accuracy. An optimization method is proposed based on artificial immune algorithm for wireless sensor network signal. A sensor network is laid nn the ground, the theory of space for leachate change information source and sensor node is used, the correlation of its electrical energy index is calculated, artificial immune algorithm used to optimize the model and get the optimal result, and effective monitoring of urban refuse leachate pollution is implemented. The experimental results show that the improved algorithm can improve the accuracy of monitoring.

关 键 词：垃圾渗滤液 监测 无线传感网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]