The Research On Mine Emergency Rescue Communication System Based On Wireless Sensor Network

The coal mine rescue communication system is an indispensable part of modern coal mine enterprises to achieve emergency rescue,and the coal mine environment is a special restricted environment.It is the long-term goal of the coal mine industry to improve coal mine safety guarantee technology and achieve efficient and safe production.However,the underground terrain of the coal mine is complex and the environment is harsh.The arbitrariness of accidents has caused coal mine accidents to occur frequently,resulting in serious economic,life and property losses.The wireless sensor network has the characteristics of self-organization,low power consumption,rapid deployment,and strong resistance to destruction.It provides important advantages for the application of coal mine emergency communication and rescue systems,and can greatly respond to the special environment of coal mines.The application of wireless sensor network technology in coal mines is of great significance to the establishment and improvement of underground coal mine emergency communication systems,and to the timely guidance of effective rescue work and the reduction of losses after a coal mine disaster.The thesis aims to study the research of coal mine emergency rescue communication system based on wireless sensor network.By analyzing the changes of the network environment and the communication between the nodes in the process of coal mine accidents in the wireless sensor network,a node positioning algorithm suitable for the coal mine emergency rescue environment is constructed and expanded to a three-dimensional environment,and the personnel positioning is realized on this basis development method with escape guide path.The specific research contents of this article include:Firstly,the phenomenon that the direct path is blocked due to the existence of various debris and obstacles in the coal mine environment is analyzed.Research on data-driven obstacle detection methods,by collecting a large number of RSS sample data sets in a laboratory environment,and extracting the characteristics of the data set for analysis,using a hypothesis test classification algorithm to detect whether there are obstacles between links.Secondly,a hybrid channel model reflecting the relationship between distance and received signal strength is constructed.This model combines complex underground communication characteristics,including analysis of ray waveguide models,shadow effects,tunnel size,and penetration effects of obstacles.The constructed mixed channel model can complete the distance measurement between nodes,and on this basis,the distance estimation between non-obstacle nodes can be obtained.Thirdly,a credible anchor node selection algorithm was proposed to solve the problem of high-precision node positioning under the conditions of coal mine disasters,and this application was upgraded to a three-dimensional environment.Therefore,according to the position of the node and the obstacle,the optimal guidance path is developed by using the improved minimum spanning tree algorithm.Finally,the credibility of the proposed method for selecting trusted anchor nodes was verified by simulation in the two-dimensional coal mine environment and the three-dimensional coal mine environment,and the positioning accuracy was compared with other algorithms in the same environment to verify the advantages of the algorithm and determine the effectiveness and reliability of the guidance path Performance in terms of scalability.