Routing And Synchronization Technology Of WSN Location Monitoring Data For Non-coal Mountain Pressure Disasters

Mineral resources are the material guarantee for a country to develop its national economy and ensure its national security.According to statistics,the total profit of China's mining industry in 2020 is 355.32 billion.At the same time,with the rapid development of mining technology and cumulative mining of mineral deposits,shallow mineral resources are gradually exhausted,and deep mining has become an inevitable choice to obtain mineral resources.However,the deep advancement has led to the problems of safety in production,with frequent accidents in various places.At present,underground monitoring in non-coal mines mainly adopts wired communication,which has some problems such as complicated lines,high cost,difficult maintenance and poor robustness of lines.Especially in the mine,the sensors and cables will be damaged,resulting in system failure,which makes the monitoring data unable to be transmitted to the observer in time,and cannot provide favorable information for emergency rescue and relief work.In this paper,wireless sensor networks are applied to intelligent monitoring of underground non-coal mine mountain pressure disasters,and four key data processing technologies of wireless sensor networks,such as node location,routing protocol,data fusion and time synchronization,are studied by combining theoretical analysis with simulation.(1)Improved hybrid filtering and barycenter law are used to improved APIT location algorithm.Firstly,the abrupt signal strength value is filtered by hybrid filtering,then the weighted median value is used to improve the accuracy of signal strength value,and finally,the barycenter method is used to reduce the misjudgment of APIT positioning.Simulation results illustrate the algorithm has better overall positioning performance.(2)Cluster heterogeneous network routing algorithm based on wolf pack algorithm.Firstly,the improved wolf pack algorithm is used to obtain the approximate optimal solution of the optimal deployment of heterogeneous nodes.Secondly,the concept of edge degree is introduced to improve the DEEC algorithm,and the improved IDEC algorithm is used to dynamically cluster the common nodes in heterogeneous networks,and then the data transmission mode is carried out after the clustering mode is set.The algorithm is more energy-efficient and more effective,and the energy consumption of the network is more balanced.(3)Data time synchronization algorithm based on delay buffering and dynamic clustering.Firstly,the concept of delay buffer is proposed based on the traditional RFA algorithm.Secondly,MAC layer timestamp technology is used to accurately estimate the actual time from packet generation to information delivery;Finally,dynamic clustering is used to sort the network based on the initial phase and divide it into several virtual clusters with smaller scale and equal spacing.Through simulation analysis,the algorithm effectively improves the synchronization performance of the network and better adapts to the complex environment.