| The intelligent monitoring of processings and environment is one of the effective ways to realize the safety of mine production.The construction of multiplex Internet of things(Io T)to ensure the effective collection,reliable transmission and real-time monitoring of the whole domain information is a worth studying frontier subject of application in mine,which plays an important role in promoting the development of digital underground mine.The real-time monitoring and visual management of production environment,equipment and person in underground mine is realized with establishing a set of data/audio/video multimedia information is a comprehensive solution with various technologies.There is mobile wireless sensor network delaytolerant model,dynamic range-free localization algorithm,cross-layer collaborative control model of wireless network,embedded systems technology,wireless-wired redundant seamless access technology and computer network technology.Meanwhile,based on the mature fiber redundant ring self-healing network,improved IEEE 802.15.4 protocols and algorithms,multimedia information type and multiplex Io T technology to ensure accurate data,voice and image clearly acquiring with high precision industrial chips and devices,advanced technological processing,production equipment and inspection instruments.The multiplex Io T based intelligent monitoring system in underground mine completely conform to the state of coal safety standards,which has the characteristic such as high stability and good safety,provide reliable technical support and engineering application theory basis for the safety production of underground mines.The main research work of this thesis is as follows:(1)A Green Communication Data Classification MAC(GCDC-MAC)protocol for wireless AD hoc network is proposed.For the losing of important information of nodes caused by the unfair channel contention mechanism in the wireless self-organized network of multiplex Io T in underground mine,the realtime dynamic data information is divided into two priority level by high/low importance.Based on the Markov chain method,the high/low priority data buffer queue model of the nodes are established.Based on CSMA/CA channel contention mechanism,channel access is dynamic optimized and adjusted,an information transmission algorithm is established with high priority data is given right to access the channel and low priority data is retreated without overflow.The data throughput rate,network channel collision rate and energy consumption of nodes under different data production conditions are analyzed and tested by simulation experiments.The results show that this algorithm can effectively classify the data in the network,and can effectively improve the high-priority data transmission rate without excessively affecting the transmission rate of low-priority data.This protocol can provide the theory and method support of engineering application for efficient information transmission of nodes in multiplex Io T based underground mine.(2)An Optimization Routing Algorithm for Green Communication(ORAGC)routing algorithm is proposed for wireless AD hoc network.Aiming at highly dynamic,changing of network topology and limited energy of mobile nodes of network,minimum spanning tree method is used to seek a reliable routing path to ensure the connectivity between nodes.Degree-constraint mechanism is introduced to optimizing controlling the number of routing paths in order to improve the connectivity and reduce energy consumption.The nodes in the network are dynamically clustered based on the optimized genetic algorithm to balance the load and reduce energy consumption in order to seek a longer network lifetime.Simulation experiments are carried out on the delay-tolerant mobile connectivity and energy consumption of mobile nodes under different network topologies.The results show that this algorithm can effectively select the optimal routing paths compared with our counterparts,and can provide the theory and method support of engineering application for connectivity and long lifetime of mobile nodes in multiplex Io T based underground mine.(3)An Improved Multidimensional Scaling(IMDS)localization algorithm for mobile nodes in underground mine is proposed.In order to eliminate the influence of holes and randomly mobility of mobile node in the network,Receiving Signal Strength Indicator(RSSI)and mobile node positions are estimated based on Kalman filter and ranging model.Then the results of RSSI ranging model is optimized by the elastic particle algorithm,and the distance between each pair of nodes in the network are calculated by Angle of Arrival(Ao A)algorithm.The distance matrix is established based on the distance information.Based on the multidimensional scaling algorithm,the refined positions of mobile nodes are obtained by reconstructing the distance matrix.The localization accuracy under different network topology structures is simulated.The results show that compared with our counterparts,the proposed algorithm in this thesis can achieve higher localization accuracy,and can provide theoretical method support of engineering application for the positions information acquisition in multiplex Io T based underground mine.(4)A cross-layer cooperative control model based on dynamic fuzzy cognitive map is proposed.Aiming at the problem that the parameters of each protocol layer of network are difficult to coordinate and control globally.Based on the dynamic fuzzy cognitive map method,the correlation matrix of the main performance parameters of the network as the concept nodes is established.The dynamic factors are introduced to reduce the influence of network dynamics on the control accuracy.An effective control model is constructed for the cross-layer collaborative control of the multiplex Io T from the global cross-layer perspective.The simulation results show that the model can realize the information sharing of the parameters and algorithms of each protocol layer of the network,realize the improvement of single or several network performances,which can provide theoretical method support of engineering application for the overall performance optimization of multiplex Io T in underground mines.(5)An intelligent monitoring system for mine safety production based on multiplex Io T is implemented,which is integrated by nine subsystems(monitoring,communication,personnel localization,pressure wind self-rescue,water supply rescue,emergency risk avoidance,power monitoring,ventilation and drainage),and successfully deployed in Zhangzhuang iron mine in Anhui province,P.R.China.The experiments are conducted in terms of through the data transmission rate,collision rate,energy consumption and intervention of cross-layer collaborative control model before and after in actual engineering system.The results show that the methods proposed in this thesis can effectively improve the performance of multiplex Io T in underground mines,guarantee the effective acquisition of whole domain multimedia information,reliable transmission and real-time monitoring,and provide a strong technique for safety production in underground mine. |
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