摘要
为了满足多种水环境的大范围、精准监测需求,提出了基于优化深度置信网络的多传感器水质监测方法;设置水质监测标准,作为水质等级的判定条件;优化设计水体温度、PH值、溶解氧、浊度等传感器设备,利用优化深度置信网络选择多传感器的安装位置;利用多传感器采集水环境数据并完成融合处理,通过多个水质监测指标的计算以及与设置标准的比对,得出多传感器水质监测的可视化输出结果;通过性能测试实验得出结论:优化设计方法的水质监测范围为2041.79平方千米,浊度、pH值、溶解氧和氨氮浓度指标的监测误差分别为0.005 FTU、0.07、0.05 mg/L和0.007 mg/L,均低于传统方法,且满足预设条件。
In order to meet the needs of large-scale and accurate monitoring of various water environments,a multi-sensor water quality monitoring method based on optimized deep confidence networks is proposed.water quality monitoring standard is set as a criteria to determine the water quality level.The design of sensor equipment for water temperature,pH value,dissolved oxygen,turbidity is optimized.,and the optimized deep confidence network is used to select the installation location of multiple sensors.Multiple sensors are utilized to collect the water environment data and complete the fusion processing.Through the calculation of multiple water quality monitoring indicators and comparison with set standards,the visual output results of multi-sensor water quality monitoring are obtained.Through the performance testing experiments,it is concluded that the water quality monitoring range of the optimized method is 2041.79 km 2,and the monitoring errors of turbidity,pH value,dissolved oxygen,and ammonia nitrogen concentration indicators are 0.005 FTU,0.07,0.05 mg/L,and 0.007 mg/L respectively,the indicators of the optimized method are lower than that of traditional methods and meet the preset conditions.
作者
曾泽熠
陈姝予
ZENG Zeyi;CHEN Shuyu(Yangtze Ecology and Environment Co.,Ltd.,Wuhan 430062,China)
出处
《计算机测量与控制》
2023年第11期66-73,共8页
Computer Measurement &Control
关键词
深度置信网络
多传感器
水质监测
deep confidence network
multiple sensors
water quality monitoring
