Research On Underground Roadway Location Algorithm Based On WSN

As one of the lifeblood on the national economy, coal mine is an important driving force for social development. However, the frequent occurrence of coal mine accidents has become a problem that puzzles the safety of the people and the development of the industry.Due to the particularity of the coal mine underground environment, the underground staff are facing the danger at any time. When the disaster occurs, the accurate personnel information is the necessary condition for the success of the rescue. The subject comes from the Shandong Provincial Natural Science Foundation Project:the identity authentication and networking technology of the underground self organizing sensor network.In this paper,it based on the underground communication network environment,the paper studies the applicability and advantages and disadvantages of several common positioning algorithms in the tunnel and puts forward a kind of matching algorithm, The main research contents are as follows:1 .In this paper, several common wireless sensor network localization algorithms are compared, and their principles and implementation methods are analyzed in detail. In addition, the paper analyzes the positioning algorithm in the underground tunnel, which lays the foundation for the subsequent positioning algorithm.2.Based on the analysis of application requirements, the paper studies the electromagnetic environment characteristics of the underground positioning, and analyzes the influence of the multipath effect on the electromagnetic wave transmission. Through the analysis of the structure of WSN, this paper discusses the factors that affect the positioning accuracy.3.In this paper, a new algorithm is proposed which can be applied to the complex environment of underground tunnel. The algorithm consists of two stages:the establishment of database and real-time positioning. In the database phase, In order to solve the problem which database are not accurate and high complexity, It uses the method based on classification iteration, Based on a large number of training data collected from the training center, the vectors of several typical centers are selected to construct the vector set; In real-time positioning stage, the information vector collected by the mobile node is matched with the typical vectors in the vector library,then the coordinates of the corresponding points are searched and the positioning results are obtained. Because of the similar problems in the information of different positioning points, according to the propagation characteristics of electromagnetic wave and the practical knowledge of underground production, the method of speed limit position is proposed.4.Finally,this paper based on the matching algorithm of underground mine, Simulation of underground tunnel location environment, the acquisition of sample information, the establishment of data vector library,and then the mobile node positioning. By comparing the traditional RSSI positioning algorithm, fingerprint location algorithm and the algorithm proposed in this paper, the conclusion is drawn:The matching and positioning algorithm can improve the positioning accuracy of the target node in the tunnel, and meet the safety requirements in the actual production.