Title: Research on the sponge city smart platform of Wenzhou high-speed railway new city

Authors: Shuang Han; Meng Li

Addresses: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China ' School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

Abstract: Using the new technology of internet of things, big data and cloud computing, an intelligent sponge city platform with the functions of monitoring, data transmission, early warning and management is built. The hardware system based on NB-IoT and STM32 and the software system of T-S fuzzy neural network and BP neural network are designed. The BP and T-S fuzzy neural network are respectively used for data calculation and analysis, monitoring and early warning. The results show that the employment of the smart platform has reduced the annual runoff of Wenzhou City by 40%, the concentration of the suspended solids in river rainwater has been reduced by more than 40%, and the concentration of the chemical oxygen demand, ammonia nitrogen, total nitrogen and total phosphorus has been reduced by more than 30%, which reduces the economy loss by five million yuan and improved the aqueous environment to some extent.

Keywords: sponge city; smart platform; NB-IoT; BP neural network; BP NN; T-S fuzzy neural network; T-S FNN; underground rainwater storage tank; urban waterlogging.

DOI: 10.1504/IJICA.2021.10043065

International Journal of Innovative Computing and Applications, 2021 Vol.12 No.5/6, pp.312 - 320

Received: 24 Apr 2020
Accepted: 23 Aug 2020

Published online: 26 Nov 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article