Research On FBG Sensor Network In Coal Mine Roadway Monitoring And Analyzing System

Because of coal mining operations, it makes the roadway surrounding rock stress more complex in the coal roadway driving, supporting and long term using. The deformation of roadway speeds, the service life is reduced, or even causes landslides and other disasters. Not only affect the normal production of coal mine, but also cause casualties and equipment damage. In order to grasp the roadway working conditions and to prevent the occurrence of sudden disasters, should analyze the roadway surrounding rock’s structure and monitor the real-time changes of roadway. For preventing the roof instability and avoiding sudden destruction, it is important to conduct real-time monitoring for the roadway, and promptly take appropriate measures. Currently, it always use mechanical roof separation and pressure observation instrument to monitor coal mine roadway pressure and separation displacement. These two equipment need in-situ observation by the technical personnel, and manually record monitoring data. This way to observe is not convenient, the deviation is relatively large, real-time data is poor. These two equipment may appear in the gas area. and it will cause security risk for the monitoring persons. So analyze the mine roadway’structure and develop the separation displacement, rock pressure online monitoring system. It transports the roadway’s real-time running condition to the data center on the ground, then makes early care for the serious region of separation and rock changes to avoid serious disasters.FBG sensors are intrinsically safe sensors, only the optical signal into the construction site, which can fulfill the higher requirements of explosion-proof underground engineering. Developed an on-line monitoring system based on FBG sensors for the displacement separation and rock stress changes which located on Anhui Huaibei Zhuxianzhuang Coal Mine South Second Wind roadway. Designed a de-noising nonlinear regression analysis model for the roadway’s stability analysis, and achieved it in the on-line monitoring and analysis system. The main contents are as follows.1、In accordance with the characteristics of coal mine roadway, conducted finite element model. Analyzed the surrounding rock displacement and stress fields in order to determine the weak points of surrounding rock displacement and stress.In accordance with the finite element analysis results, laid FBG sensors. Mounted FBG displacement sensors on the intermediate position of each section’s dome. Mounted FBG earth sensors between section3and section4. laid it on the45°and60°of the dome.2、Connected the FBG sensors into network, and made explosion-proof treatment for the relevant equipment, then the downhole monitoring was established. Connected the downhole monitoring network via industrial Ethernet to the inoue office network, made the dual-network integration. Ultimately achieved data acquisition underground700miter, real-time monitor and real-time analysis inoue.3、Developed the roadway online monitoring system. The monitoring informations and alerts were displayed real-time. Analyzed each monitoring point’ blasting sequence trend. The system also had some other functions such as report printing. person management, system parameters management and soon on.4、Established de-noising and noising nonlinear regression analysis model to analyze monitoring data.Contrasted the three models"(exponential model, logarithmic function model and hyperbolic function model) curves and timing curves. These three models were applied to the online monitoring and analysis system. Predicted the trend of every monitoring points according to the three models. At last came to the conclusion that the de-noising model simulation analysis were more credible and the roadway would keep stable in the future days.