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Study On Monitoring And Warning System Of Mine Water In Liyazhuang Coal Mine

Posted on:2022-06-15Degree:MasterType:Thesis
Country:ChinaCandidate:H YuFull Text:PDF
GTID:2481306524959489Subject:Safety engineering
Abstract/Summary:PDF Full Text Request
Water disaster is one of the main disasters in the mine.The effective monitoring and early warning is an important subject in the research of mine disaster prevention technology.The mine water monitoring and early warning system is studied based on relevant theories of mine water disaster,mine Internet of Things,big data and cloud platform technology,and is applied in combination with the actual situation of Liyazhuang Coal Mine.System in the deployment of liyazhuang coal mine 2-616 working face of microseismic monitoring system and the stress and strain in the process of the monitoring system to monitor mining floor lead water crack development situation and the water inrush danger,in rivers,meteorological,hydrological concept of long hole mining area,hydrological hole and underground drainage system deployment hydrological hydrological elements such as dynamic monitoring system for monitoring mineral sheers hydrological conditions.At the same time,a big data platform for mine water monitoring and early warning is deployed in the system,which has the functions of comprehensive scheduling,data integration,model analysis and intelligent early warning.After installation and commissioning,the system is in good running condition,the main functions are completed high,and the expected target has been reached.At the same time,based on the monitoring situation of the system and the actual hydrogeological conditions of the mine,the index system of mine water disaster early warning is established by using the threshold analysis method and the classification early warning method.Through the practical application,the index system is reasonable and can be used as an important reference for mine water disaster prevention and control.Combined with the monitoring data of mine water inflow,the prediction method of mine water inflow is studied by using neural network.The neural network prediction model of mine water inflow is established by using LSTM algorithm.After data processing,parameter analysis,model optimization and effect evaluation,the model has good fitting degree and high accuracy.It can be used as a new method of water inflow prediction and has certain research value.This paper has 75 pictures,9 tables and 50 references.
Keywords/Search Tags:Internet of Things in Coal Mine, flood warnings, index system, neural network, water inflow forecasts
PDF Full Text Request
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