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Design And Implementation Of Urban Road Ponding Depth Monitoring System

Posted on:2023-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:P H WangFull Text:PDF
GTID:2568306758465904Subject:Electronic information
Abstract/Summary:PDF Full Text Request
As the global climate gets warmer,extreme weather has become more frequent,leading to an increase in the frequency of rainfall,which in turn can lead to urban flooding.The aggravation of urban waterlogging has seriously affected the safety of people’s lives and properties.In order to reduce the impact of urban waterlogging on people’s lives,it is necessary to establish an urban waterlogging prevention monitoring system to realize real-time monitoring and early warning of urban waterlogging-prone points.This paper designs an urban road water depth monitoring system by researching and analyzing the existing domestic and foreign technologies.The main work was showed as follows.First of all,analyze the research status at home and abroad,through compare different water level monitoring systems,it was proposed to build a set of urban road water depth monitoring system with the help of Internet of Things,big data and other technologies.Secondly,analyze the system requirements,complete the software and hardware design of the system monitoring terminal,which included MCU,water level data acquisition module,positioning module and wireless transmission module.The program adopts modular design to reduce the coupling degree of the program and realize the convenient management of the program.Thirdly,the design of monitoring client was carried out by using Visual Studio code and Android studio platform for front-end design,manage data with My SQL,deploying the server through EMQX,subscribing and publishing information,and realizing the information interaction between the collection terminal and the WEB end and APP end,so as to realize the functions of data visualization,historical data query and user management.Then,the data used in this paper were non-stationary time series,which were converted into stationary series after first-order difference,the SARIMA model was ordered according to the autocorrelation test results,after compared with the prediction results of LSTM model,the SARIMA was selected as the early warning model of this system.Finally,the overall test of the designed urban road water level monitoring system was carried out to verify the functions of each part.The results showed that the system was stable to meet the design requirements.
Keywords/Search Tags:NB-IoT, Water level monitoring, SARIMA model
PDF Full Text Request
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