摘要
针对传统的水质监测系统在实际工程应用中存在的诸多缺陷,提出了将虚拟仪器技术应用于水质监测过程当中,同时引入基于BP神经网络的水质预测模型。应用模型对水质参数的预测数值和实时测量数值进行处理,提高了水质参数测量的精确度。通过实例仿真试验验证了该水质监测系统。
The traditional monitoring system of water quality proves to be defective in actual en- gineering.In view of that,this paper proposes that the virtual instruments be used and a predicting model based on the BP neutral net be ushered into the monitoring process.By dealing with both the predicted and surveyed data of the water-quality parameters using weight average,we may enhance the accuracy of the parameters.Furthermore,with virtual experiments,this paper proves the pro- posed monitoring system to be with superior performance.
出处
《给水排水》
CSCD
北大核心
2007年第S1期303-306,共4页
Water & Wastewater Engineering
关键词
水质监测
水质预测模型
虚拟仪器
加权平均
远程监控
Water monitoring
The model of water-quality monitoring
Virtual instruments
Weight average
Remote monitoring
