Automatic detector for analysis speed of coal gas

Abstract

The invention provides an automatic detector for the analysis speed of coal gas, and the automatic detector comprises an acquisition module, a master control module and an external memory module which are encapsulated into a whole, wherein the acquisition module comprises n gas flow sensors which have the same detection accuracy and different measuring ranges; each gas flow sensor is switched according to the sequence of the measuring ranges in a descending order; the n is larger than or equal to 2, and the n is a natural number; the gas flow sensors collect the gas flow from a coal sampling pot; the master control module presets the analysis speed range of the gas, obtains the real-time analysis speed of the gas and the accumulated flow of the gas and determines a working gas flow sensor; and the external memory module stores the flow of the gas, the acquisition time, the real-time analysis speed of the gas and the accumulated flow of the gas. The detector provided by the invention has the characteristics of high detection accuracy, strong field adaptability and the like, and can be widely applied to the acquisition industries of coal mines and the like.

Description

technical field [0001] The invention relates to detection technology, in particular to an automatic detection instrument for coal gas resolution speed. Background technique [0002] In the ventilation design of new mines, coal seam gas drainage, and evaluation of coal seam gas outburst hazards, etc., the initial velocity of coal seam analysis is one of the key parameters for estimating the original gas content and residual gas content. The prediction and assessment of the outstanding risk of gas has an important influence. [0003] At present, there are mainly indirect measurement methods, direct detection methods and analytical detection methods in the determination of coal seam gas content. The indirect detection method obtains relevant parameters such as coal quality and coal seam temperature through the analysis of coal seams and coal samples, and then indirectly obtains the gas content of coal seams. The error of indirect detection method is relatively large. The dir...

AI Technical Summary

Problems solved by technology

Drainage gas collection detection and pressure difference detection are complex in operation, low in automation, and large in detection errors

The gas analysis speed test adopts computer monitoring and more advanced sensors to collect data, which has a high degree of automation and eliminates errors caused by human factors; but it is mainly used for laboratory analysis and cannot meet the needs of on-site analysis

[0004] It can be seen that in the prior art, the gas analysis detection of coal samples needs to be carried out in the laboratory, which cannot adapt to the field conditions; moreover, although the gas analysis speed test has a high degree of automation and eliminates errors caused by human factors, due to The application of the sensor is relatively simple, so the analysis error is still relatively large

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