Abstract
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.
Highlights
There are RFID, Zigbee, TOA, UWB positioning methods and products in mine in recent years, which have been applied in the underground production management and safety supervision
ORGANIZATION This paper mainly studies the performance of MPMD algorithm, the results of the simulation experiments show that the MPMD algorithm can adapt to the complex characteristics of the underground geomagnetic variation, and it has high matching accuracy and robustness, which can meet the requirements of underground geomagnetic positioning
The radiation field of the GRPM device can activate the tag attached to the tunnel and indirectly obtain the rough coordinates of the tunnel’s position, the flux gate in the GRPM device can record the magnetic vector of the personnel’s path in real time; the first accurate position of the underground personnel can be estimated after calculating the correlation between the magnetic measurement vector and the reference data by using the matching algorithm, the underground personnel continue to move forward, the new geomagnetic sequences is collected, geomagnetic matched again, and the second accurate position of the underground personnel are estimated
Summary
There are RFID, Zigbee, TOA, UWB positioning methods and products in mine in recent years, which have been applied in the underground production management and safety supervision. The radiation field of the GRPM device can activate the tag attached to the tunnel and indirectly obtain the rough coordinates of the tunnel’s position, the flux gate in the GRPM device can record the magnetic vector of the personnel’s path in real time; the first accurate position of the underground personnel can be estimated after calculating the correlation between the magnetic measurement vector and the reference data by using the matching algorithm, the underground personnel continue to move forward, the new geomagnetic sequences is collected, geomagnetic matched again, and the second accurate position of the underground personnel are estimated. The positioning accuracy of GRPM will be affected by many factors, such as the adaptability of geomagnetic spatial distribution in tunnel, the sensitivity of geomagnetic sensors in GRPM devices, the measurement of magnetic noise and the performance of matching algorithm. The accuracy of GRPM positioning is analyzed from the underground geomagnetic matching algorithm model
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
