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The Application Of Wireless Sensing Technology In Landslide Hazard Warning

Posted on:2018-12-22Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q ZhaiFull Text:PDF
GTID:2350330518961289Subject:Physical Electronics
Abstract/Summary:PDF Full Text Request
Our country is one of the most serious geological disasters in the world.Landslide,debris flow is the highest type of geological disasters in the frequency,with a sudden strong,big disaster loss,etc.In the traditional geological hazards monitoring technology,the disaster's sudden and monitoring frequency mismatch,monitoring results in warning tend to have certain hysteresis.With the development of wireless sensor network,.it provides a new monitoring method for the environment monitoring of harsh condition field.This article chooses the U.S.CC2530 chip of TI company as MCU,based on Zigbee communication protocol design of the wireless sensor system,realized the terminals for data collection,through the Zigbee protocol for wireless transmission,will eventually collected data transfer first place machine collection and transmission system design.In addition,the system for the intelligent monitoring frequency adjustment and optimization of temperature and humidity compensation,super terminal display results verify the effectiveness of the design is correct.Taking the landslide in the middle part of Ai-lao Mountain in Xin-ping of Yunnan as research object,the influence of moisture content and slope gradient on the slope stability was analyzed by setting up physical model with SLOPE/W software.The relation curves of moisture content and slope gradient on the stability coefficient were obtained by numerical calculation using MATLAB.According to the simulation result,the slopes with gradient varied in the range form 28° to 33° are the main monitoring regions.The threshold valves of moisture content for early-warning is 21%and the alarming boundary values is 23%.This work could provide references for multi index warning of this type in Yunnan.
Keywords/Search Tags:Wireless sensor network, Landslide, Disaster monitoring, Early warning, Multi-index
PDF Full Text Request
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