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Positioning method suitable for underground targets of coal mine

A positioning method and positioning algorithm technology, applied in the field of positioning, can solve the problems of poor environment in coal mines and unsatisfactory positioning accuracy.

Active Publication Date: 2014-02-12
CHINA UNIV OF MINING & TECH
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AI Technical Summary

Problems solved by technology

[0004] Since the positioning method based on the RSSI value is based on the transmission loss of the signal, the traditional method is mostly based on the RSSI value ranging method. However, the underground environment of the coal mine is relatively harsh, so that the positioning accuracy cannot achieve the desired effect.

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  • Positioning method suitable for underground targets of coal mine
  • Positioning method suitable for underground targets of coal mine
  • Positioning method suitable for underground targets of coal mine

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with specific embodiments, so as to facilitate the understanding of the innovative nature of the present invention, but these related examples are not intended to limit the application scope of the present invention.

[0047] like figure 1 Shown is a positioning method suitable for underground targets in coal mines, including the following steps:

[0048] S1. The establishment of the experimental simulation simulation environment, the positioning area is divided into N positioning reference points i;

[0049] S2. The "fingerprint feature" sample RSSI of each positioning reference point Sample collection;

[0050] S3, RSSI to be collected Sample The sample values ​​are filtered to generate "fingerprint features";

[0051] S4. Design of positioning algorithm based on "fingerprint feature";

[0052] S5. Experimental simulation results and analysis errors;

[0053] The division of positioning referen...

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Abstract

The invention discloses a positioning method suitable for underground targets of a coal mine. The positioning method comprises the following steps that first, a positioning area is divided into N positioning datum points i, wherein N is an integer larger than 0; second, the RSSISample of the 'fingerprint feature' of each positioning datum point is sampled; third, collected RSSISample values are filtered to generate the 'fingerprint feature'; fourth, positioning algorithm operation is conducted based on the filtered 'fingerprint feature' in the third step; fifth, errors are analyzed, and a result is output. According to the 'fingerprint feature' positioning method for the underground targets of the coal mine based on the RSSI values, experiments show the effectiveness and the feasibility of an algorithm, high robustness is achieved for environmental conditions, positioning precision and system real-time performance can also meet the requirement of a coal mine positioning system, and important practical significance is achieved for guaranteeing coal mine safety production.

Description

technical field [0001] The invention relates to the technical field of positioning, in particular to a target positioning method suitable for underground coal mines. Background technique [0002] With the rapid development of wireless communication technology, wireless positioning technology is also developing rapidly. The location service based on wireless sensor network plays an increasingly important role in people's work and life, which accelerates the development of wireless sensor network location, and wireless sensor network can be used in target location. One of the main goals of wireless sensor networks in the application of coal mine monitoring is to point out the location of the events it monitors. Therefore, when monitoring the environment and targets, it is important to be able to know the location of the emergency in time. [0003] Different from the ground environment, the coal mine underground roadway space is a long and narrow strip-shaped space, and elect...

Claims

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Application Information

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IPC IPC(8): H04W64/00G01S5/02
Inventor 华钢王永星任荣徐永刚王书芹蒋超赵颖杰黄冬勃郑琪顾博闻
Owner CHINA UNIV OF MINING & TECH
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