The Research And Implementation Of Microseismic Location In Coal Mine System Based On Improved PSO

With the increase of mining depth,coal mine vibration disasters become more and more frequent.Once the earthquake disaster occurs,it will directly destroy the related roadway under the mine or even the whole working face in a very short time,causing equipment damage and casualties.Coal mine vibration disaster has the characteristics of short trigger time and difficult spatial location.It needs real-time monitoring of microseismic data to identify the disaster and quickly realize the disaster location,so as to provide support for the follow-up rescue work.Relying on advanced information technology and perception technology,dealing with vibration disaster monitoring has become a research hotspot.Therefore,in view of these problems,this paper studies and realizes the coal mine microseismic positioning system based on improved particle swarm algorithm.The system consists of sensing data dual-mode reading module,positioning calculation module of improved particle swarm optimization algorithm and system visualization module.The dual-mode reading module of sensing data mainly includes two parts: socket communication data reading module and hard disk data reading module;In the positioning calculation module,after obtaining the input sensing data,the time domain analysis method is introduced to determine the microseismic trigger,and an improved particle swarm optimization algorithm is proposed to solve the location,time and magnitude of the microseismic occurrence,and the microseismic data of each mining area is stored in the database;The visualization module of the system adopts B / S architecture,including real-time positioning display module and real-time perception data display module.The monitoring data is displayed through the browser,and the monitoring personnel are assisted to carry out the work combined with the mine map and the corresponding waveform.In the dual-mode reading module of sensing data,aiming at the problem of unstable wireless network transmission in the actual environment,a dual-mode data reading mode of socket + hard disk is proposed,which mainly uses socket communication to read data.At the same time,when the connection is disconnected due to abnormal conditions,the adaptive mode is converted to the hard disk grabbing data mode to ensure the stability of the system;In the positioning calculation module of the improved particle swarm optimization algorithm,the inertia weight parameter W,learning factor C1,C2 and speed update formula are optimized in combination with the actual mining environment.At the same time,the local particle swarm optimization algorithm is combined with the global particle swarm optimization algorithm to further improve the positioning accuracy.The test results show that the system has good real-time performance and high disaster location accuracy.The key technology of the system has been applied in a coal mine group in Henan,a coal mine group in Shanxi,a coal mine group in Liaoning and many other coal mine enterprises,and has achieved good results,which is of great significance to reduce the vibration disaster loss in the mining area,protect property and life safety.This paper strictly follows the overall process of software development,in the implementation of the system,from the requirements analysis,system design,key technology,testing and implementation of five aspects are described in detail.