基于模糊神经网络的污染环境安全评估方法研究

Research on Pollution Environment Safety Assessment Method Based on Fuzzy Neural Network

污染环境修复过程中,对污染区域中气体分布进行综合评估,对于现场工作安排的制定及施工人员安全具有重要意义。针对污染现场有毒气体分布的多样性和复杂程度,提出一种基于模糊评价的神经网络气体评估方法。该方法在评估污染现场的污染态势的基础上,克服了模糊评价体系中对初始权重赋值时的不确定性问题。以有毒气体检测平台为数据集进行评估试验。结果表明,该方法的评价效果准确,最大隶属度更贴合所属级别,为污染修复提供了良好的实用价值。

In the process of remediation of polluted environment,comprehensive assessment of gas distribution in the polluted area is of great significance for the formulation of site work arrangement and the safety of construction personnel.In view of the diversity and complexity of toxic gas distribution in the contaminated site,a neural network gas assessment method based on fuzzy evaluation is proposed.The method overcomes the uncertainty of initial weight assignment in the fuzzy evaluation system on the basis of evaluating the pollution situation of the pollution site.The toxic gas detection platform was used as the data set for the evaluation test.The results show that the evaluation effect of this method is accurate,and the maximum membership degree is more suitable for the corresponding level,which provides a good practical value for pollution remediation.