摘要
基于蚁群算法的生态环境污染健康监测路径方法选择的监测路径工作效率低,为了解决这一问题,提出石油能源消耗对生态环境污染健康监测路径研究。利用正算法实现石油能源消耗指标标准化,再构建监测路径模型,设计监测调度流程,通过收集威胁生态环境事故数据,利用小波滤波方法消除监测路径误差,将最大均方误差最小化。设计实验测试十个监测路径地工作效率,结果表明,所提方法所选择的10个监测路径工作效率更高,且符合设计需求。
This paper researched on the impacts of oil energy consumption on the health monitoring path of ecological environment pollution.The positive algorithm is used to realize the standardization of oil energy consumption index.The monitoring path model is constructed,and the monitoring and scheduling process is designed.By collecting the data of threatening ecological environment accidents,the wavelet filtering method is used to eliminate the monitoring path error and minimize the maximum mean square error.Experiments are designed to test the working efficiency of ten monitoring paths.The results show that the 10 monitoring paths selected by the proposed method are more efficient and meet the design requirements.
作者
王新
Wang Xin(Huafeng Sino-Energy LNG Company, Chaozhou 521000, China)
出处
《环境科学与管理》
CAS
2020年第10期181-185,共5页
Environmental Science and Management
关键词
能源消耗
生态环境
环境污染
监测路径
小波滤波算法
energy consumption
ecological environment
environmental pollution
monitoring path
wavelet filtering algorithm