Research On The Monitoring And Early Warning System Of Mine Water In Jining Mine

This article focuses on the construction of the mine water inrush monitoring index system and early warning model construction in this direction.Based on the geological data of Jining Coal Mine and the actual situation,a water inrush evaluation index system was established,and the weight evaluation of each index was carried out in combination with the analytic hierarchy process.Combined with the evaluation of the risk of Ordovician water inrush from the floor of No.2 coal seam in Jining Coal Mine,A monitoring index system for coal mine water inrush has been established.Using matlab as the application platform,a coal mine water inrush warning model based on BP neural network was constructed,combined with specific engineering construction conditions,and the collected data were used to verify the effectiveness of the model.The research results of the thesis are summarized as follows:(1)Based on the research and analysis on the relevant factors of mine water inrush and the actual geological and hydrological conditions of the Jining Coal Mine,a monitoring index system for coal mine water inrush has been established,combined with the application of analytic hierarchy process and Delphi expert opinion method for water inrush factors The weight evaluation was carried out,and the weight sequence of each influencing factor was obtained;the water inrush hazard evaluation was carried out on the No.2 coal seam floor of Jining Coal Mine.Using the water inrush coefficient method,the water inrush coefficient in the minefield TS ≤ 0.06MPa/m,which is Areas with low water inrush risk;a mine water monitoring indicator system has been established,with water level,water inflow,water temperature,stress and strain,and microseismic events as the main monitoring indicators.(2)A single-factor early warning analysis was carried out for the aquifer water level,water temperature,and water inflow indicators.According to the Slesarev formula and the geothermal gradient formula,the highest upper limit of the water level and water temperature can be determined,and according to the actual hydrological data of the mine,Combining with the principle of normal distribution,the early warning threshold of each indicator is determined,and specific criteria are given.A multi-factor early warning model of coal seam floor based on BP neural network was constructed.According to the basic theory of BP neural network and coal mine water inrush warning index system,a neural network was constructed to collect qualified mine data as the learning and training of the model.The training results were consistent with The actual calculation results have a good fit and can be monitored and early warning.(3)According to the requirements of coal mine water inrush monitoring indicators,a mine water monitoring and early warning system that meets the Jining Coal Mine’s requirements was designed.The monitoring principles of the microseismic system,the stress-strain system and the hydrological dynamic monitoring system were introduced,and the specific construction plan was formulated.According to the construction of the corresponding hardware system and software system,the results show that the monitoring of each subsystem is good and all aspects are operating normally.The microseismic system,the stress-strain system and the hydrological dynamic monitoring system are integrated under the same platform,and the Jining Coal Mine Water Monitoring and Early Warning System is built,which realizes the networking of the mine-Huajin Coking Coal Group-Shanxi Coking Coal Group,which can connect all The hydrological information is displayed in the platform system in real time,combined with system monitoring results and actual production conditions,the system construction meets the needs of monitoring and early warning,and no alarm information occurs during operation,which can truly reflect the mine water conditions.The paper has 70 pictures,23 tables,and 100 references.