Coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation

Abstract

The invention discloses a coal mine blasting insecurity action identification and judgment method based on GMM (Gaussian Mixture Model) representation. The method comprises the following specific processes that: (1) preprocessing human body skeleton sequence data, obtaining the human body skeleton sequence data through kinect, obtaining hand joint data through a data glove, and carrying out denoising and normalized preprocessing on the human body skeleton sequence data and the hand joint data; (2) carrying out human body skeleton sequence data representation: 1) obtaining the GMM feature of action, 2) representing a skeleton sequence time sequence, and 3) extracting action representation GMM features; and (4) on the basis of the behavior identification of a Bayes classifier. By use of themethod, one action is comprehended as the sequential combination of multiple key gestures, a method for representing an action key gesture by the GMM is used for simplifying problem processing, so that the method exhibits certain effectiveness, and the problems of long time sequence, complex action and difficulty in judgment of coal mine blasting action can be accurately solved through identification and judgment.

Description

technical field [0001] The invention relates to a method for identifying and judging unsafe coal mine blasting actions in an immersive virtual reality environment, and belongs to the technical field of coal mine blasting safety operations. Background technique [0002] Unsafe actions in coal mines are the main cause of coal mine safety accidents, and among them, the gas explosion accidents caused by blasting by blasters are the ones with the highest frequency of occurrence and the largest number of deaths. [0003] Eliminate unsafe actions in the process of shooting, mainly through repeated training of standard shooting actions, discover and correct unsafe actions of trainees, so that they can consciously make safe actions when encountering the same situation in actual work . However, due to the particularity of the action training of blasting operation, it is impossible for the trainees to carry out repeated training or verification in the real gas explosion dangerous envi...

AI Technical Summary

Problems solved by technology

[0008] The present invention aims at many deficiencies in the existing unsafe action identification and judgment technology of blasting in coal mines, and considers the interdependence between frames and the interrelationships between nodes, proposes a process action that can effectively identify blasting, and A method for identifying and judging unsafe actions in coal mine blasting based on GMM (Gaussian Mixture Model) representation in an immersive virtual reality environment to determine the unsafe actions

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