Method for detecting uniqueness of person entering coal mineral well

A detection method and personnel technology, applied in mining equipment, mining equipment, earth cube drilling, etc., can solve the problems of high cost, slow execution speed, and complexity of iris recognition devices, and eliminate the influence of mine environmental factors and uniqueness The effect of detection and algorithm is simple and easy

Active Publication Date: 2015-06-10
HEFEI UNIV OF TECH
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Problems solved by technology

[0007] "Design of Identification Card Unique Detection Device in Mine Personnel Positioning System" ("Industrial and Mine Automation", 2012 (6): 4-6 pages) published by Guo Haijun and others from the Chongqing Research Institute of China Coal Science and Technology Group, using face recognition technology to identify personnel Identification, by sequentially scanning the number of information sent by the identification card and the facial feature information of the personnel entering the mine, the uniqueness detection standard is carried out, but the pollution of the facial feature information by the mine environment is not considered, and the execution speed is relatively slow
[0008] "Mine Personnel Safety Management Scheme Based on Iris Recognition and RFID" ("Coal Science and Technology", 2010, 38(4): 75-78) published by Hefei University of Technology and Xu Jiren, Institute of Electronic Engineering of the Chinese People's Liberation Army, etc. The radio frequency card technology, compute

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  • Method for detecting uniqueness of person entering coal mineral well
  • Method for detecting uniqueness of person entering coal mineral well
  • Method for detecting uniqueness of person entering coal mineral well

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specific Embodiment approach 1

[0050] According to the existing equipment level, mine personnel carry positioning tags to transmit signals within a range of 500-600 meters, and send a signal every 2 seconds. The mine personnel positioning system and base station use the collected tag signals as data basis for attendance and uniqueness detection.

[0051] figure 1 It is a schematic flow chart of a basic method of the present invention. It can be seen from the figure that the main steps of the method for detecting the uniqueness of coal mine personnel are as follows:

[0052] Step 1. The base station receives and measures the RSSI and solidified ID of the data sent by the mine personnel positioning tag, compares it with the personnel information data in the mine personnel positioning system database, and initially completes the identification of the mine personnel positioning tag information, and then the collected RSSI Transfer to the host computer for processing.

[0053] Step 2, establish the RSSI databa...

specific Embodiment approach 2

[0153] Combine below Figure 4 to Figure 9 The second specific embodiment is given.

[0154] In this experiment, it is assumed that one person moves with tags No. 1 and No. 2 at the same time, and No. 3 and No. 4 tags are carried by two people respectively, that is, one person carries No. 3 tag and the other carries No. 4 tag.

[0155] In this scenario, the algorithm proposed by the present invention is verified, wherein Figure 4 It is a schematic diagram of the base station receiving and measuring the RSSI transmitted by the positioning tags No. 1 and No. 2, Figure 5 is the invention Figure 4 RSSI in the curve fitted by Gaussian filtering and least squares method, Figure 6 is the invention Figure 5 The curve in is the curve with the minimum similarity distance after being translated up and down in the range of ±10dbm. Figure 7 It is a schematic diagram of the base station receiving and measuring the RSSI transmitted by the positioning tags No. 3 and No. 4 in the in...

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Abstract

The invention relates to a method for detecting uniqueness of a person entering a coal mineral well. The method comprises the following steps: receiving and measuring a RSSI (received signal strength indicator) of a label by a base station; establishing a RSSI sequence database; according to label sending data, periodically selecting a slide window, and filtering the RSSI in the window; fitting the filtered RSSI to be a curve line; freely selecting two curve lines after filtering and fitting, and performing vertical translational treatment on one curve line; apply a dynamic time wrapping algorithm and obtaining a similarity distance corresponding to an optimal path between two curve lines; comparing the obtained minimum similarity distance with the set threshold value, exactly judging if it is one person with multiple blocks. According to the method, the label RSSI similarity is compared on the basis of the dynamic time wrapping algorithm, and further the space position of the label is judged; the method realizes the uniqueness detection of the person who enters the coal mineral well, and solves the problem the current label-based mining person location system cannot accurately detect the uniqueness of the person who enters the coal mineral well.

Description

technical field [0001] The invention relates to a method for detecting the uniqueness of personnel entering a coal mine, in particular to a method for detecting the uniqueness of personnel entering a mine by using a Dynamic Time Warping (DTW) algorithm to analyze the similarity of the received signal strength RSSI of two tags. Background technique [0002] The state pays more and more attention to the personal safety of coal mine operators, and the supervision is constantly strengthened. Article 10 of the "Coal Mine Safety Regulations" requires that coal mining enterprises must establish a well-entry inspection system and an inventory system for personnel entering and leaving the well; "Coal Mine Underground Safety Avoidance" six Article 17 of the "Basic Requirements for Construction and Improvement of Large System and Interim Measures for Inspection and Acceptance" stipulates that all personnel entering the well must carry identification cards; AQ6210-2007 and AQ1048-2007 "C...

Claims

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Application Information

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IPC IPC(8): G06K7/00E21F17/18
Inventor 李奇越范海龙王建平黎洁孙伟李伟储忠
Owner HEFEI UNIV OF TECH
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