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Development Of An Intelligent Monitoring System For The Excess Pore Water Pressure Under Earthquake Action

Posted on:2022-11-15Degree:MasterType:Thesis
Country:ChinaCandidate:H P TaiFull Text:PDF
GTID:2480306614459204Subject:Automation Technology
Abstract/Summary:PDF Full Text Request
Earthquake liquefaction is a very destructive natural disaster,which will induce disasters such as slope collapse,uneven subsidence of buildings,collapse and other disasters,posing a major threat to economic development and personnel safety.The key role in seismic liquefaction is the change of ultra-static pore water pressure.In the current ultra-static pore water pressure monitoring system,there are still problems such as low level of intelligence,weak real-time acquisition and dynamic transmission capabilities,lack of data integrity,and long-term monitoring.Aiming at the problems faced in the monitoring of excess pore water pressure under earthquakes,the demand for in situ monitoring was analyzed in this thesis.Then,an acceleration trigger module was designed.Based on the improved BP neural network algorithm,the monitoring data was corrected.And a prediction model for the excess pore water pressure was established.A set of intelligent monitoring system for the ultra-static pore water pressure was developed by integrating with the Internet of Things technology.The main contents include:1.In view of the problems existing in the monitoring of excess pore water pressure under earthquake action,the functional and performance requirements of the monitoring system were analyzed,and the overall design scheme of the intelligent monitoring system was determined.2.Aiming at the problems of excessive energy consumption and large data storage in the long-term monitoring of ultrastatic pore water pressure,the acceleration trigger module is designed,and the sensor data correction algorithm based on improved BP neural network is proposed for the problem that the sensor acquisition data is incomplete due to seismic action,and combined with the improved BP neural network algorithm,an ultrastatic pore water pressure prediction model is established.3.The excess pore water pressure monitoring system was designed.The system consists of a signal acquisition terminal and a remote monitoring side.The signal acquisition terminal is composed of the STM32F407 data processing module,the excess pore water pressure sensor,the acceleration monitoring unit and the communication module.According to the requirements of in situ excess pore water pressure monitoring,the data acquisition module and the communication module were designed.The remote monitoring terminal is mainly comprised with the One NET cloud platform and the WEB terminal,realizing the communication between the device and the One NET cloud platform,and between the One NET cloud platform and the WEB terminal.The SSM framework was employed to develop the WEB terminal.And combined with the My SQL database,the function of user login,data query,equipment management and background management was designed.4.Taking the demand into consideration,the integrated system and each functional modules of the excess pore water pressure intelligent monitoring system were tested after setting up the software and hardware testing environment.Results showed that the system satisfies the design requirement and performance.
Keywords/Search Tags:earthquake, excess pore water pressure, monitoring system, WEB server, BP prediction model
PDF Full Text Request
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