| The Chinese government is vigorously promoting the construction of digital infrastructure represented by 5G,edge computing and industrial Internet to help enterprises get through the data flow channel in the industrial production system,thus driving the cost reduction and efficiency improvement of industrial production.In order to achieve the goal of safe,efficient and green production,mining enterprises,which occupy an important position in the industry,actively apply new technologies such as industrial Internet of Things and vigorously carry out the construction of smart mine engineering.With the development of smart mine construction,more and more perceptive and executing devices are available to connect the information world of smart mine with the physical world.However,due to the strong coupling between these devices and subsystems,there are layers of barriers in data interaction between terminals,resulting in the failure of a large number of data,computing and communication resources in the smart mine to give full play to their potential efficiency.In view of the above problems,this paper studies the distributed collaborative architecture system of smart mine,standardized access of terminal device,dynamic scheduling and allocation of information resources,and active perception and integration of real-time production information.The research work aims to construct mine intelligent perception environment based on block chain technology,identity authentication technology,edge computing technology and artificial intelligence technology,fine overall planning and scheduling of mine information resources,and active perception integration of mine real-time production information.The main research results are as follows:(1)For mining spatial characteristics of complicated geological conditions,high response speed requirements,in-depth study of mine operation and linkage mechanism of the production of mining device,mining entity information resources for encapsulation,forming micro service and mounted to the distributed soft bus in mines,building the distributed collaborative mine intelligent micro service architecture.The system not only retains the advantages of traditional hierarchical mine Io T architecture in vertical data interaction,but also breaks the boundaries between different levels through distributed soft bus,enhancing the interconnection ability between various entities and enhancing the horizontal data interaction ability.(2)In order to ensure the security of data interaction in the smart mine Internet of Things,the distributed device authentication theory is proposed,and the device access mechanism based on block chain and IBC encryption algorithm is studied.In order to break down the barriers between subsystems and further strengthen the end-to-end communication capability of the mine Internet of Things,a platform-independent data publishing and subscription mechanism is constructed based on Actor model to form an intelligent distributed soft bus of mine.(3)To solve mining network communication facilities for mine intelligent equipment a large number of growth and the performance bottleneck problem,we studied the classification mechanism of Internet communication data flow,proposed a method to extract behavior characteristics of networking device data interaction based on wavelet transform.And building a model based on convolutional neural network identify the types of mine Io T devices.On the basis of the above work,a multi-priority communication scheduling optimization strategy for SDN is designed.The simulation results show that the mine Io T data flow classifier and multipriority communication scheduling optimization strategy constructed in this paper can effectively improve the utilization rate of mine Io T communication resources and guarantee the quality of service of mine network.(4)Aiming at the problem that it is difficult to fully schedule edge computing resources,a moving edge computing model in mine environment is constructed.We comprehensively analyze the constraints of wireless communication rate,wired communication delay and balanced allocation of computing resources,propose a resource matching method driven by computing service value,and design a broker-based mobile edge computing resource scheduling mechanism to achieve the optimal matching between computing demand and resource supply.The simulation results show that the proposed resource matching algorithm and edge computing resource scheduling mechanism can effectively motivate the system to allocate resources,achieve a high level of supply-demand balance,and improve the capacity of edge computing services.(5)Taking coal mine transportation as the background,the governance and application of intelligent mine perception data are studied.A large amount of data is generated in the intelligent mine perception situation,which involves many entities such as people,machinery,environment and materials in the mine production,and contains the situation information of mine safety production.By applying knowledge graph to intelligent mine data management,data management graph is formed and intelligent mine data empowerment is realized.Combined with the background of mine transportation application,the software and hardware of safety situation awareness system are designed,and the effectiveness of the method and mechanism proposed in this paper is verified by the test in coal mine environment.Figure 85 Table 22 Reference 203... |
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