Method for calculating ventilation resistance coefficient of laneway based on image recognition

A technology of image recognition and ventilation resistance, applied in the field of intelligent prediction of ventilation resistance coefficient, to achieve considerable economic benefits and reduce costs

Inactive Publication Date: 2022-02-01
LIAONING TECHNICAL UNIVERSITY
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  • Claims
  • Application Information

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Problems solved by technology

This algorithm simplifies the processing of roughness, and the measurement is easily affected by the scale effect

Method used

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  • Method for calculating ventilation resistance coefficient of laneway based on image recognition
  • Method for calculating ventilation resistance coefficient of laneway based on image recognition
  • Method for calculating ventilation resistance coefficient of laneway based on image recognition

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Embodiment Construction

[0052] The surrounding rock is photographed by the camera, and the photos cover all the walls of the roadway to be tested. In this example, only one of the photos is selected for specific description, and the calculation process of other photos is consistent with the detailed example. Figure 7 It is the original photo selected for detailed description in this example. The size is 10cm in length and 8.75cm in width. The image is processed by Gaussian difference, and the filter parameter σ 1 and σ 2 1 and 10, respectively, Figure 8 are processed photos; further analysis Figure 8 It is found that the existence of roughness is observed in the photo through the difference of black-gray color. In order to extract the key points of roughness in the photo, the Figure 8 Establish a plane Cartesian coordinate system. In order to show the calculation process and calculation data more clearly, this example only selects Figure 8 The information in the middle rectangle frame identi...

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Abstract

The invention discloses a method for calculating a ventilation resistance coefficient of a laneway based on image recognition, and belongs to the field of mine intelligent ventilation. The method comprises the following steps: photographing surrounding rocks of a wind resistance roadway to be measured to obtain a plurality of pictures containing roughness information, identifying the roughness in the pictures by adopting a Gaussian difference algorithm, and extracting key points of the roughness in the pictures; converting two-dimensional information into a world coordinate system by combining internal and external parameters of the camera and coordinate system transformation, and constructing a point cloud three-dimensional model; segmenting the point cloud model into several areas, fitting a three-dimensional plane through scattered points in each area, and calculating the mean value of the distance from each point cloud to the plane as the roughness of the area; calculating the roughness of other segmented regions by the same method; calculating the average value of the roughness of all the segmented areas to serve as the roughness of the photo; identifying the roughness of the surrounding rock in other photos by the same method, and calculating the average value of the roughness identified by all the photos as the roughness of the roadway to be measured; and finally, combining a Colebrook mathematical model and a friction-resistance mathematical model to predict a resistance coefficient. The method has the advantages of being high in intelligent degree, high in working environment adaptability, capable of achieving data operation and feedback and capable of providing technical support for mine intelligent ventilation.

Description

technical field [0001] The patent of the present invention relates to the intelligent prediction technology of the ventilation resistance coefficient in the technical field of mine ventilation and disaster prevention, and in particular to the calculation method of the ventilation resistance coefficient of the mine lane by image recognition. Background technique [0002] Mine ventilation, as the "breathing system" of mines, is of great significance to mining production, prevention of gas accumulation, spontaneous combustion of residual coal in shafts, and creation of a good working environment. When the air flows along the shaft, due to the blockage and disturbance of the shaft wall due to the viscosity and inertia of the air flow and the disturbance of the shaft, the ventilation resistance is formed, resulting in insufficient air supply in the roadway where the wind is required. As one of the important parameters to measure the degree of ventilation difficulty, the coefficie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/20G06T7/11G06T7/80G06T17/00
CPCG06T7/11G06T7/80G06T17/00G06T2207/20021G06T2207/30244
Inventor 高科戚志鹏刘玉姣
Owner LIAONING TECHNICAL UNIVERSITY
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