摘要
针对超滤循环泵在垃圾渗滤液处理中的能耗问题,设计了一套降低超滤循环泵能耗的方法及系统。该系统采用B/S架构并结合神经网络训练出的最优算法模型,提前对超滤循环泵的运行参数作出调整,从而起到节能降耗的作用。前端展示部分采用Jquery+Bootstrap+Highcharts+ACE框架,后端服务部分采用Spring+SpringBoot+MyBatis框架,前后端通过Json数据格式进行交互。系统经过在线测试和现场试运行阶段后,已正式投入使用,并取得良好的效果。
Aiming at the energy consumption of ultrafiltration circulating pump in landfill leachate treatment,this paper designs a method and system to reduce the energy consumption of ultrafiltration circulating pump.The system adopts the B/S architecture and combines the optimal algorithm model trained by the neural network to adjust the operating parameters of the ultrafiltration circulating pump in advance,thereby saving energy and reducing consumption.The front-end display part uses Jquery+Bootstrap+Highcharts+ACE framework,the back-end service part adopts Spring+SpringBoot+MyBatis framework,and the front and back ends interact through Json data format.After the online test and on-site trial operation,the system has been officially put into use and achieved good results.
作者
钱晨
QIAN Chen(Everbright Environmental Protection Technology Research Institute(Nanjing)Co.,Ltd.,Nanjing,Jiangsu 210003,China)
出处
《计算技术与自动化》
2020年第4期142-147,共6页
Computing Technology and Automation
关键词
超滤循环泵
能耗
B/S架构
神经网络
前端
后端
JSON
ultrafiltration circulating pump
energy consumption
B/S architecture
neural networks
front-end
back-end
Json
