Coal mine gas detection method

A detection method and gas concentration technology, applied in the detection field, can solve the problems of backward alarm system technology, influence, enterprise loss, etc.

Inactive Publication Date: 2016-11-09
URUMQI VOCATIONAL UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the backward technology of the alarm system, false alarms are as high as 80 to 90%. Normal production is greatly affected by frequent false alarms, causing great losses to the enterprise.

Method used

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Embodiment Construction

[0050]In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and understandable, the specific implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the above-mentioned and other purposes, features and advantages of the present invention will be clearer. Like reference numerals designate like parts throughout the drawings. The drawings have not been drawn to scale, emphasis instead being placed upon illustrating the gist of the invention.

[0051] see figure 1 , first introduce the gas concentration measurement system, including the transparent gas pump 3 and the flexible grating 9 that are installed in the mine and can be driven by light; The light is irradiated to the transparent air pump 3 and the flexible grating 9 through the optical cable, the light source generating unit interacts with the signal acquisition and processing unit, and the ...

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Abstract

The invention discloses a gas concentration detection method. According to the method, a KPCA algorithm is used to identify the "large number", wherein two mixed kernel functions are firstly constructed, a kernel matrix is constructed by using a vector method, and the characteristic vector of the kernel matrix is analyzed and calculated by using the kernel main component; the algorithm has characteristics of high recognition rate and high operation speed; according to the algorithm, the KPCA process on a training set is converted into the PCA process of all kernel training samples having the coordinate of the data set at the group basis through a group of training sample standard orthogonal basis of the sub-space formed in the character space, while the training sample is subjected to character extraction, such that the non-linear characteristics of the training data can be effectively captured, and the wide attention and application is provided in pattern recognition and regression analysis. According to the present invention, during the calculation process of the KPCA, the character value is required to decompose the M*M kernel matrix (M represents the number of the training samples); and when the sample character is extracted, only the kernel function between the sample and the samples for forming the group basis is required to be calculated, and the experiment results verify that the algorithm is effective.

Description

technical field [0001] The invention relates to a detection method, in particular to a coal mine gas detection method. Background technique [0002] With the rapid development of my country's economy, the demand for energy is increasing day by day. Since our country is a country rich in coal, poor in oil and little in gas, the mining of coal mines plays an extremely important role in the development of our country's economy. The rapid development of the economy naturally requires more coal mining. Coal mines are enterprises with frequent accidents. In recent years, serious and extraordinarily serious safety accidents in my country's coal mines have occurred frequently, and the annual death toll has reached 6,000, which not only caused heavy losses to the life and property of the country and the people, but also caused a bad impact on the image of the Chinese government at home and abroad. [0003] It can be seen from the recent coal mine accidents in our country that gas ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
CPCG01N21/25
Inventor 丁旭秋
Owner URUMQI VOCATIONAL UNIV
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