A method for planning a mining speed of a shearer based on a dynamic gas geological model

Abstract

The application discloses a kind of planning shearer mining speed based on dynamic gas geological model: step one: initial gas content database is built;Step two: working face gas content geological model is built;Step three: according to working face gas content test data, working face gas content is formulated according to different RGB color display legend;Step four, according to step legend, the three-dimensional display of gas content model is realized;Step five: the best mining speed of shearer in current position is calculated;Step six: the best mining speed of shearer corresponding to any position point is obtained;Step seven: the best mining speed of all position points is issued to shearer, and shearer is executed according to the mining data issued.The application plans the best mining speed of working face according to the gas geological condition of working face, realizes the safe recovery of working face, and solves the problem that the mining speed of shearer is not matched with the gas geological condition of working face in intelligent mining.

Description

Technical Field

[0001] This invention belongs to the field of coalfield geology technology and relates to a method for planning the mining speed of coal mining machines based on a dynamic gas geological model. Background Technology

[0002] Intelligent and reduced-manpower operations in coal mines are crucial for achieving coal mine safety. Currently, transparent working face technology involves constructing a high-precision, multi-attribute 3D geological model of the working face. Through absolute coordinate transformation, a working face mining model is built to guide safe, efficient, and intelligent mining. The gas geological model is a key attribute model of the working face; a high-precision gas geological model can reflect gas occurrence conditions to a certain extent, preventing gas-related accidents at the working face. Therefore, constructing a high-precision gas geological model of the working face to guide safe mining is of great significance.

[0003] Currently, the cutting process of transparent longwall face coal mining machines mainly relies on establishing a geological model of the transparent longwall face through surveying, drilling, and geophysical exploration. Then, a cutting curve is generated based on the location of the coal mining machine, and from this curve, parameters such as the required mining height and bottom depth are derived. The height of the front drum (high drum) of the coal mining machine is controlled by the mining height and slope. However, in intelligent mining of fully mechanized longwall faces, the mining speed of the coal mining machine is usually controlled at a fixed speed, for example, 5-8 m / min in the middle and 3-5 m / min in the triangular coal area. This method does not consider the differences in geological conditions, especially the gas content of the working face. If the mining speed is too fast, it will lead to excessive gas release, posing a risk of gas exceeding limits or gas outburst. Therefore, by constructing a gas geological model based on gas content data, and planning the mining speed of the coal mining machine using the gas geological model, it is possible to guide the coal mining machine to mine at a normal speed, ensuring the safety of the mining process.

[0004] Therefore, in view of the above-mentioned shortcomings, the designers of this invention, through dedicated research and design, and by integrating years of experience and achievements in related industries, have developed a method for planning the mining speed of coal mining machines based on a dynamic gas geological model by fusing gas content test data and gas monitoring data, thereby ensuring safe mining of the working face. Summary of the Invention

[0005] The purpose of this invention is to provide a method for planning the mining speed of a coal mining machine based on a dynamic gas geological model, so as to solve the technical problem that the mining speed of a coal mining machine in intelligent mining does not match the gas geological conditions of the working face.

[0006] To achieve the above objectives, the present invention employs the following technical solution:

[0007] A method for planning the mining speed of a coal mining machine based on a dynamic gas geological model, specifically including the following steps:

[0008] Step 1: Based on the gas content test data obtained from the mine working face, construct an initial gas content database and form an initial data table of gas content in the working face;

[0009] Step 2: Construct a geological model of the working face's gas content based on the gas content test data obtained in Step 1;

[0010] Step 3: Based on the gas content test data of the working face obtained in Step 2, formulate a legend for displaying the gas content of the working face according to different RGB colors;

[0011] Step 4: Based on the gas content test data of the working face obtained in Step 2, realize the three-dimensional display of the gas content model according to the legend in Step 3;

[0012] Step 5: Based on the data obtained in Step 3 and the geological parameters of the working face, calculate the optimal mining speed of the coal mining machine at the current location;

[0013] Step Six: Store the optimal mining speed calculated in Step Five into the database to obtain the mining speed of the coal mining machine corresponding to any location point;

[0014] Step 7: Send the optimal mining speed for all locations obtained in Step 6 to the coal mining machine. The coal mining machine will execute the mining according to the sent mining data, thus completing the control of the planned coal mining machine mining speed based on the dynamic gas geological model.

[0015] Furthermore, step two specifically involves interpolating the gas content test data obtained in step one according to the working face grid to form working face gas content test data.

[0016] Furthermore, the grid spacing density is 10m*10m.

[0017] Furthermore, the formula for calculating the optimal mining speed of the coal mining machine is as follows:

[0018]

[0019] In the formula:

[0020] V represents the optimal mining speed of the coal mining machine, in m / min;

[0021] Q represents the actual ventilation volume at the working face, in m³ / min;

[0022] C max The maximum concentration of methane in the working face cutting section, %;

[0023] W represents the depth of each cut by the coal mining machine, in mm;

[0024] H is the coal seam thickness, in meters;

[0025] T is the calculation time for the mining rate, in minutes;

[0026] ρ is the density of coal, kg / m³;

[0027] β represents the gas content per ton of coal, m 3 / t;

[0028] X is a correction factor, which is dimensionless.

[0029] Furthermore, C max It is 0.8%.

[0030] Furthermore, W is 850mm.

[0031] Furthermore, T is 1 minute.

[0032] Furthermore, ρ is 1.4 kg / m 3 .

[0033] Compared with the prior art, the present invention has the following technical effects:

[0034] (1) A gas geological model of the working face was constructed, which can reflect the gas geological conditions of the working face, and the gas model was applied to the actual production process of the working face.

[0035] (2) Based on the dynamic gas geological model of the transparent working face, the optimal mining speed of the working face is planned according to the gas geological conditions of the working face to achieve safe mining. This solves the problem that the mining speed of the coal mining machine is not matched with the gas geological conditions of the working face in intelligent mining. Attached Figure Description

[0036] Figure 1 This is a rendering of the working face gas model generated through an embodiment of the present invention.

[0037] The present invention will be further explained and described below with reference to the accompanying drawings and specific embodiments. Detailed Implementation

[0038] The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model, as presented in this invention, specifically includes the following steps:

[0039] Step 1: Based on the gas content test data obtained from the mine working face, construct an initial gas content database and form an initial data table of gas content for the working face, as shown in the table below.

[0040] x y <![CDATA[β(m 3 / t)]]> 0 0 2.3 ... ... ...

[0041] Where x is the difference between the geodetic coordinates x and y relative to the zero point of the working face; y is the difference between the geodetic coordinates y and y relative to the zero point of the coordinates; β reflects the data result obtained from the gas content test, and the zero point of the coordinates is usually set as the intersection of the stop line and the return airway.

[0042] Step 2: Construct a geological model of the working face's gas content based on the gas content test data obtained in Step 1.

[0043] Specifically, the gas content test data obtained in step one is interpolated according to the working face grid to form the working face gas content test data as shown in the table below. The grid spacing density is generally 10m*10m.

[0044] X Y <![CDATA[β(m 3 / t)]]> 0 10 2.3 0 20 ... ... ... ...

[0045] Step 3: Based on the gas content test data of the working face obtained in Step 2, formulate a legend for displaying the gas content of the working face according to different RGB colors.

[0046] Specifically, we define legends corresponding to different gas contents. For example, when the gas content is between 0.4 and 0.45, the RGB colors are (153, 102, 255), as shown in the table below.

[0047] Attribute Name Minimum value Maximum value R G B Gas content 0.4 0.45 153 102 255 Gas content 0.45 0.5 120 80 255 ... ... ... ... ... ...

[0048] Step 4: Based on the gas content test data of the working face obtained in Step 2, implement the three-dimensional display of the gas content model according to the legend in Step 3.

[0049] Step 5: Based on the data obtained in Step 2 and the geological parameters of the working face, calculate the optimal mining speed (V) of the coal mining machine at the current location. The calculation formula is as follows:

[0050]

[0051] In the formula:

[0052] V represents the optimal mining speed of the coal mining machine, in m / min;

[0053] Q represents the actual ventilation volume at the working face, in m³ / min;

[0054] C max The maximum permissible concentration of methane in the working face mining cut is %, generally 0.8%.

[0055] W represents the depth of each cut of the coal mining machine, in mm, typically 850 mm;

[0056] H is the coal seam thickness, in meters, determined based on the geological model;

[0057] T is the calculation time for the mining rate, in min, defined as 1 min;

[0058] ρ is the density of coal, kg / m3, typically 1.4 kg / m3;

[0059] β is the gas content per ton of coal, in m3 / t, determined based on the gas model;

[0060] X is a correction factor, which has no unit dimension and can be consistent with the actual situation. It is generally taken as 1.2.

[0061] Step Six: Store the optimal mining speed (V) of the coal mining machine calculated in Step Five into the database to obtain the mining speed of the coal mining machine at any given location point. See the table below:

[0062] X Y v(m / min) 0 0 5.6 ... ... ...

[0063] Step 7: Send the optimal mining speed (V) of the coal mining machine for all locations obtained in Step 6 to the coal mining machine. The coal mining machine executes according to the sent mining data to complete the control of the planned coal mining machine mining speed based on the dynamic gas geological model.

[0064] Example

[0065] Step 1: Based on the mine gas content test data, construct the initial database of the gas content database, forming the initial data table of the gas test database, as shown in Table 1.

[0066]

[0067]

[0068] Step 2: Interpolate the mine gas content test data obtained in Step 1 according to the working face grid to form the working face gas content test data as shown in the table below, with a grid spacing density of 10m*10m.

[0069]

[0070]

[0071] Step 3: Based on the geological model of gas content in the working face obtained in Step 2, formulate a legend for displaying the gas content in the working face using different RGB colors.

[0072]

[0073]

[0074] Step 4: Perform 3D display according to the example in Step 3. For example... Figure 1 As shown.

[0075] Step 5: Based on the data obtained in Step 2, calculate the optimal mining speed of the coal mining machine at the current location. See the table below:

[0076]

[0077]

[0078] Step Six: Send the optimal mining speed for each location calculated in Step Five to the coal mining machine, and the coal mining machine will execute the mining according to the sent mining data.

Claims

1. A method for planning the mining speed of a coal mining machine based on a dynamic gas geological model, characterized in that, Specifically, the steps include the following: Step 1: Based on the gas content test data obtained from the mine working face, construct an initial gas content database and form an initial data table of gas content in the working face; Step 2: Construct a geological model of the working face gas content based on the initial data table of working face gas content obtained in Step 1; Step 3: Based on the geological model of gas content in the working face obtained in Step 2, formulate a legend for displaying the gas content in the working face using different RGB colors; Step 4: Based on the geological model of gas content in the working face obtained in Step 2, implement the three-dimensional display of the geological model of gas content in the working face according to the legend in Step 3; Step 5: Based on the gas content test data obtained in Step 1 and the geological parameters of the working face, calculate the optimal mining speed of the coal mining machine at the current location. The formula for calculating the optimal mining speed of the coal mining machine is as follows: In the formula: V represents the optimal mining speed of the coal mining machine, in m / min; Q represents the actual ventilation volume at the working face, in meters. 3 / min; C max The maximum concentration of methane in the working face cutting section, % W represents the depth of each cut by the coal mining machine, in mm; H is the coal seam thickness, in meters; T is the calculation time for the mining rate, in minutes; The density of coal, kg / m³ 3 ; β represents the gas content per ton of coal, m 3 / t; X is a correction factor, which has no unit or dimension; Step Six: Store the optimal mining speed calculated in Step Five into the database to obtain the mining speed of the coal mining machine corresponding to any location point; Step 7: Send the optimal mining speed for all locations obtained in Step 6 to the coal mining machine. The coal mining machine will execute the mining according to the sent mining data, thus completing the control of the planned coal mining machine mining speed based on the dynamic gas geological model.

2. The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model as described in claim 1, characterized in that, Step two specifically involves interpolating the gas content test data obtained in step one according to the working face grid to form working face gas content test data.

3. The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model as described in claim 2, characterized in that, The grid spacing density is 10m*10m.

4. The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model as described in claim 1, characterized in that, C max It is 0.8%.

5. The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model as described in claim 1, characterized in that, W is 850mm.

6. The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model as described in claim 1, characterized in that, T is 1 minute.

7. The method for planning the mining speed of a coal mining machine based on a dynamic gas geological model as described in claim 1, characterized in that, It is 1.4 kg / m 3 .

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