Gas extraction big data management system

Abstract

The application discloses a gas extraction big data management system, which comprises a gas database module and an extraction equipment planning module; the gas database module stores the following: direct mineral gas content x1, real-time spatial gas content x2, mine cross-sectional area S, mine depth advancing speed V and total mine depth H; the extraction equipment planning module is used for calculating the required number N of gas extraction equipment of the current mine; the extraction equipment planning module calculates the required number N of gas extraction equipment of the current mine according to the following steps: S11, setting the extraction speed of each gas extraction equipment as Q1, which is the volume of air extracted per hour. The gas extraction big data management system solves the problem in the prior art that the gas extraction equipment cannot be controlled according to the direct mineral gas content detected on site, the real-time spatial gas content and the size of the current mine space.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of gas extraction management, in particular to a gas extraction big data management system. BACKGROUND

[0002] A Chinese patent discloses a gas extraction standard evaluation visualization management system and method with application number CN201711163486.0, which includes a gas extraction evaluation module, a visualization interaction module and a visualization management module; the gas extraction evaluation module establishes a gas extraction pipe network model, determines drilling hole arrangement parameters, determines to-be-selected gas pump model parameters and pipe network parameters, and verifies existing gas pump parameters; generates a gas basic evaluation report according to inputted basic condition data of a surveyed mine; determines mine extraction evaluation indexes; approves coal mine gas extraction standard production capacity of a mine gas pump; the visualization interaction module displays various gas extraction standard evaluation data, and realizes input, modification and export of data through a visualization interaction interface; the visualization management module realizes visualization graphic element display of a gas extraction monitoring device. The system realizes gas extraction standard evaluation function, and makes evaluation work programmed and intelligent, but still has the following problems:

[0003] The system cannot determine the air volume that should be extracted by gas extraction equipment per unit time according to directly-mineral gas content directly detected by a gas content direct detection device, real-time spatial gas content detected by a gas extraction multi-parameter detector and current mine size, and the air volume that should be extracted by gas extraction equipment per unit time directly affects the number of gas extraction equipment, that is, the number of gas extraction equipment should be set to extract air containing gas in a mining process in time, and reduce the probability of safety accidents. SUMMARY

[0004] The present application provides a gas extraction big data management system, and solves the problem in the prior art that gas extraction equipment cannot be controlled according to directly-mineral gas content detected on site, real-time spatial gas content and current mine size.

[0005] To achieve the above object, the present application adopts the following technical solution:

[0006] The application discloses a gas extraction big data management system, which comprises a gas database module and an extraction equipment planning module; the gas database module stores the following parameters: direct mineral gas content x1, real-time space gas content x2, mine cross-sectional area S, mine depth advancing speed V and mine total depth H; the direct mineral gas content x1 is the gas content in each gram of the current mine mineral; the real-time space gas content x2 is the gas content in each milliliter of the current mine; the mine cross-sectional area S is the cross-sectional area of the current mine; the mine depth advancing speed V is the depth of the mine extracted per day; and the mine total depth H is the depth of the current mine that has been extracted; the extraction equipment planning module is used to calculate the number N of gas extraction equipment required by the current mine; the extraction equipment planning module calculates the number N of gas extraction equipment required by the current mine according to the following steps: S11, setting the extraction speed of each gas extraction equipment as the air volume Q1 extracted per hour, and then the extraction speed of all the current gas extraction equipment is the air volume Q=N1*Q1 extracted per hour; S12, calculating the extraction speed of all the current gas extraction equipment as the air volume Q' extracted per hour, In the formula, a1, a2, b1, b2, c1, c2, d1, d2, e1, e2 and f are constants; S13, calculating the number N of gas extraction equipment required by the current mine, so that Q is greater than or equal to Q'.

[0007] Preferably, the gas extraction big data management system further comprises a data updating module, which is used to update the direct mineral gas content x1.

[0008] The step of updating the direct mineral gas content x1 by the data updating module comprises the following steps:

[0009] S21, detecting the real-time space gas content x2 by using a gas drainage multi-parameter detector;

[0010] S22, after each detection, judging whether the space gas content x2 is less than or equal to a set value X; if yes, the step S2 is performed; if no, the step S23 is performed;

[0011] S23, notifying an operator to re-detect the gas content of the current mine mineral by using a gas content direct measurement device within half an hour, so as to obtain a new direct mineral gas content x1;

[0012] S24, after the updating is completed, calculating the number N of gas extraction equipment required by the current mine by using the extraction equipment planning module.

[0013] Preferably, S13 comprises the following steps:

[0014] S131, setting i=0;

[0015] S132, calculate i=i+1;

[0016] S133, judge whether i*Q1 is greater than or equal to Q', if yes, proceed to step S134, if no, return to proceed to step S132;

[0017] S134, command N equals to i, and end.

[0018] Compared with the prior art, the present application has the following beneficial effects:

[0019] Since gas is emitted from the minerals in the mine during the mining process, the direct mineral gas content x1 of the minerals in the mine affects the gas content in the air (that is, the real-time space gas content x2), and the mining depth advancement speed V affects the emission speed of the gas content in the minerals during the mining process. Since workers generally have a certain progress, the mining depth advancement speed V is also certain. Then, the mine cross-sectional area S and the total depth H of the mine directly affect the speed after the gas is emitted, and the gas extraction equipment also affects the emission speed of the gas. Therefore, the above indexes are directly related in the present application, so that the number of gas extraction equipment is related to the above indexes, facilitating planning the number of gas extraction equipment. The constant calculation method in the Q' calculation formula is: using the real-time space gas content x2 less than the safety setting value X, using different at least 100 different groups of data, and calculating the constant through a quadratic regression model, so as to facilitate subsequent Q' calculation, facilitate planning the number of gas extraction equipment, so that the mine excavation work can work in a safe environment, so that the gas can be accurately emitted, so as to ensure that the emission work can be carried out normally.

[0020] Other advantages, objects and features of the present application will be partly embodied in the following description, and partly understood by those skilled in the art through research and practice of the present application. DETAILED DESCRIPTION

[0021] In order to make the technical means, creative features, purposes and effects realized by the present application more clear and easy to understand, the present application will be further described below in combination with specific embodiments:

[0022] The application discloses a gas extraction big data management system, which comprises a gas database module and an extraction equipment planning module; the gas database module stores the following: direct mineral gas content x1, real-time space gas content x2, mine cross-sectional area S, mine depth advancing speed V and mine total depth H; the direct mineral gas content x1 is the gas content in each gram of the current mine mineral; the real-time space gas content x2 is the gas content in each milliliter of the current mine extraction; the mine cross-sectional area S is the cross-sectional area of the current extraction mine; the mine depth advancing speed V is the depth of the mine extraction per day; and the mine total depth H is the depth of the current mine that has been extracted; the extraction equipment planning module is used for calculating the required number N of gas extraction equipment of the current mine; the extraction equipment planning module calculates the required number N of gas extraction equipment of the current mine according to the following steps: S11, setting the extraction speed of each gas extraction equipment as the air volume Q1 extracted per hour, and the extraction speed of all the current gas extraction equipment as the air volume Q=N1*Q1 extracted per hour; S12, calculating the extraction speed of all the current required gas extraction equipment as the air volume Q' extracted per hour, wherein a1, a2, b1, b2, c1, c2, d1, d2, e1, e2 and f are constants; S13, calculating the required number N of gas extraction equipment of the current mine, so that Q is greater than or equal to Q'.

[0023] The gas extraction big data management system further comprises a data updating module, which is used for updating the direct mineral gas content x1.

[0024] The step of updating the direct mineral gas content x1 by the data updating module comprises the following steps:

[0025] S21, detecting the real-time space gas content x2 by using a gas extraction multi-parameter detector;

[0026] S22, judging whether the space gas content x2 is less than or equal to a set value X after each detection, if yes, step S2 is performed, and if no, step S23 is performed;

[0027] S23, informing an operator to re-detect the gas content of the current mine mineral by using a gas content direct measurement device within half an hour, so as to obtain a new direct mineral gas content x1;

[0028] S24, after the update is completed, the number N of gas extraction equipment required by the current mine is calculated by using the extraction equipment planning module. Since the gas content in the mineral at different depths in the same mine is not the same, the real-time spatial gas content x2 is detected in real time to avoid the real-time spatial gas content x2 being too large suddenly, which causes the gas extraction equipment to be unable to meet the rapid diffusion work. Therefore, the data update module needs to prompt the operator to update the data quickly, and the number of planned gas extraction equipment is obtained quickly according to the subsequent situation, so that the arrangement is more reasonable, the number of gas extraction equipment is reasonable, the gas diffusion speed is fast, and too many gas extraction equipment is not wasted.

[0029] S13 includes the following steps:

[0030] S131, command i=0;

[0031] S132, calculate i=i+1;

[0032] S133, judge whether i*Q1 is greater than or equal to Q', if yes, proceed to step S134, if not, return to step S132;

[0033] S134, command N equal to i, and end. The number N of gas extraction equipment required after planning is calculated according to the newly calculated Q', so that the number N of gas extraction equipment is reasonable.

[0034] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the purpose and scope of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. A gas extraction big data management system, characterized in that, Comprise: A gas database module and an extraction equipment planning module; The gas database module stores therein: direct mineral gas content x1 , real-time space gas content x2 , mine cross-sectional area S, mine depth advancing speed V and mine total depth H, the direct mineral gas content x1 is the gas content in each gram of the mineral in the current mine, the real-time space gas content x2 is the gas content in each milliliter of the current mine, the mine cross-sectional area S is the cross-sectional area of the current mine, the mine depth advancing speed V is the depth of the mine to be mined per day, and the mine total depth H is the depth of the current mine that has been mined. The extraction equipment planning module is used for calculating the number N of gas extraction equipment required by the current mine, and the extraction equipment planning module calculates the number N of gas extraction equipment required by the current mine according to the following steps: S11, set the extraction speed of each gas extraction equipment as the volume of air extracted per hour Q1 , the extraction speed of all current gas extraction equipment is the volume of air extracted per hour Q=N1*Q1 , S12, the extraction speed of all gas extraction equipment currently required is calculated as the volume of air extracted per hour ; S13, calculating the number N of gas extraction equipment required by the current mine, so that Q is greater than or equal to Q'; The gas extraction big data management system further comprises a data updating module, which is configured to update the direct mineral gas content x1 ; The data updating module updates the direct mineral gas content x1 The steps include: S21, detecting real-time space gas content using gas drainage multi-parameter detector x2 ; S22, judging the gas content in the space after each detection x2 whether it is less than or equal to a set value X, if yes, then step S2 is performed, if no, then step S23 is performed; S23, inform the operator to re-use gas content direct determination device within half an hour to detect the current mine gas content of the mined mineral, get a new direct mineral gas content x1 ; S24, after updating, the extraction equipment planning module is used to calculate the number N of gas extraction equipment required by the current mine.

2. The gas extraction big data management system according to claim 1, characterized in that, S13 includes the following steps: S131, command i=0; S132, calculating i=i+1; S133, judging i*Q1 whether or not greater than or equal to Q', if yes, then proceed to step S134, if no, then return to proceed to step S132; S134, command N equals i, and end.

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