A smart urban flood control and warning system based on big data

作者：Chen, Guanlin^*; Zhou, Zhikang; Zheng, Rongxin; Qi, Tongjun

来源：International Journal of Security and Networks, 2018, 13(4): 236-244.

DOI：10.1504/IJSN.2018.095144

• Back propagation neural networks
• Grey forecasting model
• J2EE
• Javascript
• Monitoring equipment
• Rapid urban development
• Real time display
• Urban flood control

With the great-leap-forward development of social economy in recent years, urban-scale has expanded rapidly and the problem of urban flood control has become more prominent. The normal flood control system has been unable to meet the requirement of rapid urban development. As the urban drainage facilities improve and the internet of things monitoring equipment increase, the big data era has come. Therefore, a smart urban flood control and warning system based on big data will be crucial. In this paper, a system named smart urban flood control and warning system (SUFCWS) based on big data is proposed. The system is composed of user login, flood control basic data entry, water level and rainfall data search, real-time display, statistical analysis and flood warning, which integrates J2EE platform, SSH2 (Spring Struts2 Hibernate) framework, the bootstrap front-end development kit, highcharts graphics library and Baidu Maps API. Using GM(1, 1) algorithm of grey forecasting model and back propagation neural network algorithm, SUFCWS can give available early warning of potential urban flood.

• 出版日期2018
• 单位浙江大学; 浙江大学城市学院