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MODERN TUNNELLING TECHNOLOGY 2023, Vol. 60 Issue (2) :62-72    DOI:
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Study on Construction of Remote Automatic Monitoring and Early Warning System for Tunnel and Underground Works
(China Railway 19th Bureau Group No.5 Engineering Co., Ltd., Dalian 116100)
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Abstract Based on Python programming language and big data, an automatic monitoring and early warning system is constructed, which can realize such functions as works monitoring, comprehensive early warning, visualization, parameter inversion, and real-time dynamic analysis etc. This automatic monitoring and early warning system can monitor in real time the pressure, displacement, and seepage water pressure of rock and soil mass during the construction process, automatically acquire monitoring data for remote wireless transmission, automatically store the data in a database, and use an Internet cloud platform for data sharing. The monitoring data can be used by the IA-BP algorithm module and the early warning and prediction module. The IA-BP intelligent algorithm performs inversion and intelligent prediction analysis on the monitoring data in the database, and makes comprehensive comparison and analysis between single threshold algorithm and IA-BP intelligent algorithm, thus achieving the purpose of early warning and prediction for engineering disasters.
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Yu Jian
KeywordsTunnel and underground works   Automatic monitoring   Intelligent construction   Early warning system     
Abstract: Based on Python programming language and big data, an automatic monitoring and early warning system is constructed, which can realize such functions as works monitoring, comprehensive early warning, visualization, parameter inversion, and real-time dynamic analysis etc. This automatic monitoring and early warning system can monitor in real time the pressure, displacement, and seepage water pressure of rock and soil mass during the construction process, automatically acquire monitoring data for remote wireless transmission, automatically store the data in a database, and use an Internet cloud platform for data sharing. The monitoring data can be used by the IA-BP algorithm module and the early warning and prediction module. The IA-BP intelligent algorithm performs inversion and intelligent prediction analysis on the monitoring data in the database, and makes comprehensive comparison and analysis between single threshold algorithm and IA-BP intelligent algorithm, thus achieving the purpose of early warning and prediction for engineering disasters.
KeywordsTunnel and underground works,   Automatic monitoring,   Intelligent construction,   Early warning system     
Cite this article:   
Yu Jian .Study on Construction of Remote Automatic Monitoring and Early Warning System for Tunnel and Underground Works[J]  MODERN TUNNELLING TECHNOLOGY, 2023,V60(2): 62-72
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http://www.xdsdjs.com/EN/      或     http://www.xdsdjs.com/EN/Y2023/V60/I2/62
 
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