The unique detection method of coal mine personnel

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...

AI Technical Summary

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, computer network, database and other technologies are integrated into one. By adopting advanced living iris recognition technology, the physiological characteristics of the iris of the eye are used to authenticate the identity, but the influence of light on iris recognition is not considered, and the iris recognition device in reality higher cost

[0009] As a special industrial production environment, coal mine is quite different from the general industrial working environment. The underground working environment is relatively narrow, noisy, and there are coal dust, dust, water and other substances. The fingerprints, palm prints, Voiceprint, face, etc. are easily polluted by coal dust, dust, noise, water, etc., which affect the accuracy of biometric identification. In order to overcome the accuracy problem, special algorithms are required, which are more complicated

Although iris recognition is not easily affected by various environmental factors, the cost of iris recognition devices is relatively high

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