The application of the Internet of Things technology in intelligent mines has become an important research area with the rapid development of the cloud platform and Internet +. The Internet of Things technology is a core technology that specializes in model building and algorithm implementation for the application of the mine Internet of Things. The framework of the mine Internet of Things integrated information platform from the perception layer, the transmission layer, the data layer, and the application layer is constructed according to the complexity and particularity of the underground working environment in this paper, which establishes the technical flow of the Internet of Things for underground emergency hedging subsystems and designs the main functions of five subsystems based on the Internet of Things technology. This paper proposes the structure and function of the underground emergency hedging system and introduces key technology combined with the Internet of Things technology. A novel algorithm for underground geomagnetic GRPM positioning and a mathematical model of the underground emergency hedging path are proposed according to the concepts of spatial data mining and the intelligent mine, which verify the validity of the model in intelligent decision-making in the simulation test. The simulation results show that the algorithm and model provided an effective idea for positioning and hedging in an underground emergency and help improve the intelligent analysis of the mine Internet of Things data. INDEX TERMS Mine Internet of Things, underground emergency hedging system, underground geomagnetic GRPM positioning, hedging path, spatial data mining.
It is important that precise positioning and navigation of underground personnel for intelligent hedging and mine rescue in mine accidents or disasters. At present, there are many passive positioning methods such as RFID, Zigbee and other positioning products in the underground, which cannot work normally while there is power supply interruption or signal interruption in the underground. GRPM is a new active underground positioning method combining radio frequency identification and geomagnetic matching technology, which the positioning accuracy reach to the sub-meter level when the miner with the GRPM device in the underground. Geomagnetic matching algorithm is the core technology of GRPM, and its performance directly affects the accuracy of the geomagnetic positioning. For the MSD, MAD and PORD matching algorithms have low precision in geomagnetic matching localization; it is proposed a novel matching algorithm named MPMD to achieve underground geomagnetic precise positioning in this paper which is an optimal estimation of the eigenvector product of underground two magnetic variables. The matching test of underground geomagnetic positioning for the performance of MPMD algorithm was carried out in 9 tunnels about 150 meters long and 6 meters wide in mine. The geomagnetic data of the total magnetic field and the three axis component are measured with the portable FVM400 fluxgate magnetometer. MSD, MAD and MPMD algorithms were used to matching test for analyzed their effective matching length, positioning error, noise immunity. The test result shows that the MPMD algorithm has the advantages of minimum matching position error and better noise immunity than MSD, MAD matching algorithms under the same experimental conditions. It is suitable for the complications of underground geomagnetic spatial distribution, and meets the requirements of underground emergency refuge and navigation. However, matching process of MPMD algorithm is time-consuming, it can be further improved the search space and search strategy in later research.
In order to solve the problem of constrained routing algorithm without capability of dealing with failures, this paper proposes a failure recovery method based on multiple mode protection switching including global protection、segment protection and local protection. This method quantifies the performance of three protections switching styles as a protection metric, making use of this metric to computer the optimal protection style for the working path. This paper put this failure recovery method into constrained routing algorithm to enhance the invulnerability of the algorithm Keywords-global protection; segment protection; local protection; failure recovery I.
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