摘要
为了综合评价环境质量,需要完善环境监测系统,充分利用窄带物联网技术和传感器技术综合采集的温度和湿度以及甲醛等环境因素,实现多传感器数据融合。利用两级并联型融合方式评价环境质量,在融合之前需要对采集到的所有数据,利用中值滤波剔除异常数据,利用卡尔曼滤波算法融合多组传感器数据,获取酮类的传感器值。最后利用模糊融合评价方法融合决策层,利用熵值法确定权重值。利用上述算法可以分别测试不同环境场景。利用多传感器数据融合可以获取丰富的环境信息,保障环境质量评价工作的优势,准确评价环境质量。
In order to comprehensively evaluate the environmental quality,it is necessary to improve the environmental monitoring system,make full use of narrow-band Internet of things technology and sensor technology,and integrate environmental factors such as temperature,humidity and formaldehyde to realize multi-sensor data fusion.In order to evaluate the environmental quality,we need to use median filter to eliminate abnormal data for all the collected data,and use Kalman filter algorithm to fuse multiple groups of sensor data to obtain sensor values of ketones.Finally,the fuzzy fusion evaluation method is used to fuse the decisionmaking level,and the entropy method is used to determine the weight value.The algorithm can be used to test different environmental scenarios,and multi-sensor data fusion can be used to obtain rich environmental information to ensure the advantages of environmental quality assessment and accurately evaluate environmental quality.
作者
陈海燕
Chen Haiyan(Ningxia Ecological Environment Monitoring Center 750001)
出处
《皮革制作与环保科技》
2020年第10期55-59,共5页
Leather Manufacture and Environmental Technology
作者简介
陈海燕,学历:本科研究方向:环境监测。
