Intelligent mining coal seam top and bottom plate contour map vectorization path design method

Abstract

The invention relates to the technical field of intelligent coal mining, and discloses an intelligent mining coal seam top and bottom plate contour map vectorization path design method which comprises the following steps: step 1, determining a coal seam bottom plate contour line vectorization path; 2, vectorizing a coal seam roof contour line path; and step 3, cutting the vectorization path in the recovery work. According to the method, based on an existing coal seam bottom plate contour map, a coal seam top plate contour map formed by exploration drilling is combined, the two contour maps are further vectorized, in this way, the thickness ratio between the coal seam top plate and the coal seam bottom plate can be used as the width of a road, and the running height of two rollers of a coal mining machine corresponds to the height of the coal seam top plate and the height of the coal seam bottom plate; according to the design method, more accurate and efficient path planning is provided for intelligent mining, so that the intelligent process of the coal industry is promoted, and the production efficiency and the safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent coal mining, and in particular to a method for designing vectorized paths for contour maps of roof and floor plates of intelligently mined coal seams. Background Art

[0002] With the advent of the 5G era, the rapid development of IoT technology has begun to have a profound impact on the coal industry. Intelligent technology is no longer limited to applications on the ground, but is gradually extending underground. In some mines, 5G signals have been successfully deployed under the mine. This technological advancement has greatly promoted the intelligentization of mine ventilation and monitoring systems. If the comprehensive intelligence of coal mining machine activities can be achieved, it will completely liberate the labor intensity of coal miners, significantly improve labor productivity, and effectively alleviate the safety and psychological pressure of personnel underground in coal mines.

[0003] In addition, there is still a certain gap between the air quality underground and the ground air quality standards. The health of underground personnel who breathe such air every day is worrying. The application of intelligent mining technology can reduce the number of personnel going down the mine, and even completely prevent coal miners from entering the mine. In this way, casualties caused by natural disasters such as underground gas, spontaneous combustion of coal seams, coal dust explosions, and roof collapse will also be greatly reduced. At the same time, personnel are far away from the sources of occupational diseases in the air underground, thereby reducing the occurrence of occupational diseases.

[0004] At present, the coal mining industry is vigorously promoting intelligent coal mining technology, and has increased the upgrading and transformation of existing equipment, investing a lot of money. However, according to the current situation, although most of the mining faces have been installed with monitoring heads and monitoring equipment, and the operation of coal mining machines has been controlled both above and below the mine, the fully autonomous operation of coal mining machines and other equipment has not yet been achieved, that is, the degree of intelligence has not yet reached the ideal state.

[0005] Therefore, we need to propose a method for designing vectorized paths for intelligent mining of coal seam roof and floor contour maps. This method will be based on the existing coal seam floor contour map, combined with the coal seam roof contour map formed by exploration drilling, and further vectorized. In this way, the thickness between the coal seam roof and floor can be compared to the width of the road, and the operating height of the two drums of the coal mining machine corresponds to the height of the coal seam roof and bottom. Such a design method will provide more accurate and efficient path planning for intelligent mining, thereby promoting the intelligent process of the coal industry and improving production efficiency and safety. Summary of the invention

[0006] The purpose of the present invention is to provide a method for designing vectorized paths for contour maps of roof and floor plates of intelligently mined coal seams, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a method for designing a vectorized path for contour maps of roof and floor plates of intelligent mining coal seams, comprising the following steps: Step 1: vectorization path of coal seam floor contour lines; Step 2: Vectorization path of coal seam roof contour lines; Step 3: Cut the vectorized path for mining work.

[0008] Preferably, the specific steps in step 1 are: step 1.1, arrange the position of the mining face in the mining area on the mining area map according to the mine development deployment; step 1.2, draw two straight lines along the upper and lower drifts of the mining face, and the mining area layout is based on the contour lines of the coal seam floor; step 1.3, make a section along the straight line, the coal seam floor surface is a spatial curve, and then these two curves are converted into function curves; step 1.4, based on the bottom plate height of the coal points in this layer connected by two boreholes or the contour lines connected, make a spatial curve, take the function curve in sections, see which function curve is similar, determine the function coefficient, and verify whether it meets the characteristics of its function curve, and verify it after it is correct; step 1.5, input the function into the computer of the coal mining machine to mine along this path, and other supporting equipment and processes are linked with the coal mining machine to realize intelligent mining.

[0009] Preferably, the specific steps in step 2 are: step 2.1, draw the coal seam roof contour line according to the coal point roof elevation seen in the coal seam exploration drilling hole; step 2.2, draw two straight lines on the upper and lower drifts of the mining working surface corresponding to the coal seam floor contour line; step 2.3, make a section along the straight line, and the coal seam roof surface is a spatial curve; step 2.4, divide the coal seam roof spatial curve into sections (reasonably) and take curve functions to see what function it conforms to; step 2.5, determine the function, the correlation between the composite function and the segmented curve; step 2.6, the height between the coal seam roof curve and the floor curve is the operating limit height of the upper and lower drums of the coal mining machine, and is also the support height of the hydraulic support; step 2.7, combined with the floor function, input into the computer to realize intelligent cutting of the coal mining machine.

[0010] Preferably, the specific steps in step 3 are: step 3.1, connecting the upper and lower chute curves according to the cutting path (generally pre-designed), and then forming the cutting top and bottom plate curves according to the top and bottom plate contours of the coal seam; step 3.2, taking the function curve in sections; step 3.3, determining the function coefficients and conforming to the correlation of the function; step 3.4, forming a network function curve; step 3.5, forming intelligent mining based on the function curve and the Internet of Things.

[0011] The present invention provides a method for designing vectorized paths for contour maps of roof and floor plates of intelligently mined coal seams. It has the following beneficial effects: (1) The present invention not only improves mining efficiency but also reduces mining costs by setting up a design of a vectorized path for the contour map of the coal seam roof and floor. Through precise deployment and calculation, the coal mining machine can operate efficiently according to the preset path, reducing human intervention and improving mining safety. In addition, the method also helps to optimize resource utilization, reduce resource waste by accurately controlling the mining thickness, and make coal mining more environmentally friendly and economical. This achieves efficient and intelligent mine production, and also provides strong technical support for the sustainable development of my country's coal industry.

[0012] (2) The present invention further vectorizes the existing coal seam floor contour map and the coal seam roof contour map formed by exploration drilling. In this way, the thickness between the coal seam roof and floor can be compared to the width of the road, and the operating height of the two drums of the coal mining machine corresponds to the height of the coal seam roof and bottom. Such a design method will provide more accurate and efficient path planning for intelligent mining, thereby promoting the intelligent process of the coal industry and improving production efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a step diagram of a method for designing a vectorized path for contour lines of roof and floor plates of coal seams for intelligent mining according to the present invention; Figure 2 It is a step diagram of the method for vectorizing the contour line of the coal seam floor of the present invention; Figure 3 It is a step diagram of the method for vectorizing the contour line of the coal seam roof of the present invention; Figure 4 A step view of the method for cutting a vectorized path for mining work according to the present invention. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0016] Example 1

[0017] A preferred embodiment of the method for designing a vectorized path for contour maps of roof and floor plates of coal seams for intelligent mining provided by the present invention is as follows: Figure 1-4 As shown: A method for designing a vectorized path for contour maps of roof and floor plates of intelligent mining coal seams, comprising the following steps: Step 1: vectorization path of coal seam floor contour lines; Step 2: Vectorization path of coal seam roof contour lines; Step 3: Cut the vectorized path for mining work.

[0018] In this embodiment, the contour lines of the top and bottom plates of the coal seams are vectorized by using the contour lines of the top and bottom plates of the coal seams. The purpose of vectorizing the contour lines of the top and bottom plates of the coal seams is that the coal seams are a spatial body with different thicknesses and large changes. The coal is formed by sedimentation and pressure changes over hundreds of millions of years. Factors such as the flatness of the bottom plate during deposition can affect the coal seams, which are different in thickness, sometimes eroded, and sometimes affected by igneous rock intrusion, fault cutting, etc., and the coal seams change greatly. After the contour lines of the top and bottom plates of the coal seams are vectorized, two large nets are formed. The coal mining machine moves between these large nets and can move according to the pre-planned route. In other words, the coal mining machine can autonomously adjust the mining path and mining thickness, and the corresponding supporting equipment moves with the coal mining machine, thereby realizing intelligent mining.

[0019] Example 2

[0020] See also Figure 1-Figure 4 , and on the basis of Example 1, it is further obtained that the specific steps in step 1 are: Step 1.1: Arrange the location of the mining face in the mining area on the mining area map according to the mine development deployment; Step 1.2: Draw two straight lines along the upper and lower drifts of the mining face. The layout of the mining area is based on the contour line of the coal seam floor; Step 1.3, make a cross section along the straight line, the coal seam floor surface is a space curve, and then transform these two curves into function curves; Step 1.4: According to the connection between the bottom plate height of the coal points in the same layer or the connection between the contour lines of the two drill holes, a space curve is made, and the function curve is taken in sections to see which function curve is similar, and the function coefficient is determined, and whether it conforms to the function curve characteristics is checked, and it is OK after the verification is correct; Step 1.5: Input the function into the coal mining machine computer to mine along this path. Other supporting equipment and processes are linked with the coal mining machine to realize intelligent mining.

[0021] By carefully designing and implementing the vectorization path of the coal seam floor contour, we can effectively use the upper and lower drifts of the mining face as two reference lines. These two lines appear as straight lines on the center line of the roadway, but in three-dimensional space they appear as curves, which are determined by the change in the thickness of the coal seam. To further process these data, we convert these curves into mathematical function curves. The specific operation method includes connecting the floor heights of the coal points in the current layer seen in two boreholes, or connecting the points between the contour lines, so as to construct the curves in space. Next, these curves are segmented and tried to fit them to known function curve types in order to determine the corresponding function coefficients. After determining the function coefficients, detailed verification is required to ensure that these curves do meet the characteristics of the selected function curve. Once the verification is correct, these functions can be entered into the computer system of the coal mining machine, so that mining operations can be carried out along this accurately calculated path. In addition, other supporting equipment and process flows will also be linked with the coal mining machine, so as to realize the intelligence of the entire coal mining process and improve production efficiency and safety.

[0022] Example 3

[0023] See also Figure 1-Figure 4 , and on the basis of Examples 1 and 2, it is further obtained that the specific steps in step 2 are: Step 2.1, draw the coal seam roof contour line according to the coal point roof elevation found in the coal seam exploration drilling hole; Step 2.2, draw two straight lines on the upper and lower drifts of the mining working surface corresponding to the contour line of the coal seam floor; Step 2.3, make a section along the straight line, the coal seam roof surface is a spatial curve; Step 2.4, divide the coal seam roof space curve into sections (reasonably) and take curve functions to see which function it conforms to; Step 2.5, determine the correlation between the function, the composite function and the piecewise curve; Step 2.6, the height between the coal seam roof curve and the bottom plate curve is the operating limit height of the upper and lower drums of the coal mining machine, and is also the support height of the hydraulic support; Step 2.7, combined with the bottom plate function, input into the computer can realize intelligent cutting of the coal mining machine.

[0024] Setting the spatial curve of the coal seam roof is not only crucial for planning the path of the coal mining machine, but also affects the support effect of the hydraulic support. Therefore, in step 2.7, after combining the bottom plate function, we input these data into the computer and optimize the cutting path through intelligent algorithms. Such automated processing not only ensures the efficiency and accuracy of the coal mining machine in operation, but also provides safety protection for the operators. Next, according to the computer simulation results, the coal mining machine is adjusted in real time to adapt to the subtle changes in the coal seam, thereby achieving the best mining effect.

[0025] Example 4

[0026] See also Figure 1-Figure 4 , and on the basis of Examples 1, 2, and 3, it is further obtained that the specific steps in step 3 are: Step 3.1, connect the upper and lower drift curves according to the cutting path (generally pre-designed), and then form the cutting top and bottom plate curves according to the top and bottom plate contours of the coal seam; Step 3.2, take the function curve piecewise; Step 3.3, determine the function coefficients and meet the correlation of the function; Step 3.4, forming a network function curve; Step 3.5: Based on the function curve and the Internet of Things, intelligent mining is formed.

[0027] By setting the vectorized cutting path for the mining work, connecting the upper and lower drift curves according to the pre-designed cutting path, and then forming the cutting top and bottom plate curves according to the top and bottom plate contours of the coal seam, precise control of the coal machine during the mining process is achieved. The function curve is taken in sections, the function coefficient is determined, and a network function curve is formed in accordance with the correlation of the function. Based on the function curve and the Internet of Things, intelligent mining is formed, which improves mining efficiency and safety.

[0028] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0029] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for designing vectorized paths for contour maps of roof and floor of coal seams for intelligent mining, characterized in that: The following steps are involved: Step 1: vectorization path of coal seam floor contour lines; Step 2: Vectorization path of coal seam roof contour lines; Step 3: Cut the vectorized path for mining work.

2. The method for designing a vectorized path for intelligent mining of coal seam roof and floor contour maps according to claim 1, characterized in that: The specific steps in step 1 are as follows: step 1.1, according to the mine development deployment, the position of the mining face in the mining area is arranged on the mining area map; step 1.2, two straight lines are drawn along the upper and lower drifts of the mining face, and the mining area layout is based on the contour line of the coal seam floor; step 1.3, a section is drawn along the straight line, and the coal seam floor surface is a spatial curve, and then these two curves are converted into function curves; step 1.4, according to the bottom plate height of the coal points in the current layer seen by the two boreholes being connected or the contour lines being connected, a spatial curve is drawn, and the function curve is taken in sections to see which function curve is similar, and the function coefficient is determined, and whether it meets the characteristics of its function curve is verified, After verification, it is done; step 1.5, input the function into the coal mining machine computer to mine along this path, and other supporting equipment and processes are linked with the coal mining machine to realize intelligent mining.

3. The method for designing a vectorized path for intelligent mining of coal seam roof and floor contour maps according to claim 1 is characterized by: The specific steps in step 2 are: step 2.1, draw the coal seam roof contour line according to the coal point roof elevation seen in the coal seam exploration drilling hole; step 2.2, draw two straight lines on the upper and lower drifts of the mining working surface corresponding to the coal seam floor contour line; step 2.3, make a section along the straight line, and the coal seam roof surface is a spatial curve; step 2.4, divide the coal seam roof spatial curve into sections (reasonably) and take curve functions to see which function it conforms to; step 2.5, determine the function, the correlation between the composite function and the segmented curve; step 2.6, the height between the coal seam roof curve and the floor curve is the operating limit height of the upper and lower drums of the coal mining machine, and is also the support height of the hydraulic support; step 2.7, combined with the floor function, input into the computer to realize intelligent cutting of the coal mining machine.

4. The method for designing a vectorized path for intelligent mining of coal seam roof and floor contour maps according to claim 1 is characterized by: The specific steps in step 3 are: step 3.1, connecting the upper and lower chute curves according to the cutting path (generally pre-designed), and then forming the cutting top and bottom plate curves according to the top and bottom plate contours of the coal seam; step 3.2, taking the function curve in sections; step 3.3, determining the function coefficients and conforming to the correlation of the function; step 3.4, forming a network function curve; step 3.5, forming intelligent mining based on the function curve and the Internet of Things.

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