Research And Implementation Of Microseismic Monitoring And Location System Based On TDOA-ICS

With the rapid development of artificial intelligence and information technology,intelligent microseismic analysis and location technology has been widely used in copper mine,coal mine,oil field and other industries.In recent years,mining industry in our country has been deeply developed.Mine earthquakes happen frequently.In the serious case,mine earthquakes may cause ground collapse,buildings destruction and casualties of workers,becoming one of the great hidden dangers of mining work.Therefore,excellent station layout,accurate and strong anti-interference microseismic monitoring and positioning system become the key to mine earthquake monitoring.Most of the traditional microseismic monitoring systems rely on the manual force,and the main work is to analyze the low-latitude characteristics of waveform,but in practice it takes a long time and has low positioning accuracy.With the advent of the era of artificial intelligence and big data,it has become the mainstream research direction in coal mine work to use advanced information technology to replace the traditional methods to monitor mine microseismic.The relevant intelligent concepts such as mine big data and smart mine should emerge in time.To solve the above problems,this paper developed and applied the microseismic monitoring and positioning system,which effectively realized the real-time monitoring in the mine production process,improved the production efficiency and quality,reduced the production cost and risk,and also improved the safety and comfort of miners,bringing more efficient,safer and more environmentally friendly production mode for the mining industry.It also provides better support for the sustainable development of the mining industry.Based on the research and analysis of a large number of literatures at home and abroad,aiming at the source location problem in microseismic monitoring and positioning system,this paper proposes a microseismic location algorithm based on the arrival time difference improved Cuckoo search algorithm(TDOA-ICS,Time Difference of Arrival-Improved Cuckoo Search).The algorithm uses the absolute residual value obtained by the arrival time difference model as the objective function of the optimization algorithm.The swarm intelligent optimization algorithm with improved cuckoo search is used to optimize the objective function,and the optimal solution is obtained for positioning.The experimental results show that the seismic source location algorithm proposed in this paper has higher positioning accuracy and stronger stability than the traditional location algorithm,which has important practical significance for the study of mine earthquake.Microseismic monitoring and positioning system,using SpringBoot,Vue,MySQL and other related languages for the main development of the system,in the development of the system,multi-threaded,high concurrency and other related technologies,to ensure the speed of the system,at the same time using object-oriented way to develop the system,can improve the availability and scalability of the system.In addition,the system can be upgraded and maintained more efficiently.