Gangue content calculation method based on geological radar
Through the geological radar detection and characteristic amplitude-gangue content calculation model, real-time detection problems in coal mine environment are solved, automatic detection of gangue content in the top coal seam is realized, and the quality and efficiency of coal production are improved.
Patent Information
- Application Number
- CN202411216054.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-02
- Publication Date
- 2024-12-10
AI Technical Summary
The prior art is difficult to achieve real-time and efficient gangue content detection during the top coal mining process in harsh coal mine environments, resulting in low coal recovery and production efficiency affected by human factors.
Geological radar is used to detect coal seams, and by establishing a characteristic amplitude-gangue content calculation model, it realizes automatic real-time and accurate calculation of coal seams gangue content, and provides automatic data support for coal discharge.
It improves the accuracy and reliability of gangue content detection, improves the quality and production efficiency of coal, and reduces the impact of manual intervention.
Smart Images
Figure CN119105100A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of applying geological radar detection to top coal caving working face mining, and specifically relates to a method for calculating the gangue content based on geological radar, the purpose of which is to obtain the gangue content of coal seams during the top coal caving mining process, provide data support for coal caving automation, and improve coal production quality and production efficiency. Background Art
[0002] Coal resources are the main energy source in my country. Automated and intelligent mining is the key development direction for safe and efficient mining in coal mines. In the process of top coal caving, the coal caving is terminated according to the gangue content of the coal seam, and the coal caving port window is closed. At present, it is generally observed by manual visual inspection whether there is gangue in the top coal caving. When gangue appears, the window is closed immediately. The coal caving port environment is harsh, dusty, and visibility is low, which is easy to cause under-cavitation, resulting in low coal recovery rate and serious waste of coal resources. In order to improve the mining rate of top coal caving, it is generally closed after a period of time after the gangue is seen, but this method is easy to cause over-cavitation, which increases the gangue content and reduces the quality of coal. So far, the top coal caving working face is still heavily dependent on manual control, and the coal quality and production efficiency are greatly affected by human factors. Therefore, there is an urgent need for a real-time and efficient automatic detection method for the gangue content of top coal caving.
[0003] Over the past decades, many scholars have conducted research on methods for detecting the amount of gangue, mainly including image recognition, empirical mode decomposition, vibration, etc. Due to the complex environment of actual coal mines, poor visibility at the working face, and complex temperature and mechanical vibration patterns, many current methods remain in the laboratory stage and are difficult to apply to actual coal mining. Geological radar uses electromagnetic waves for non-destructive detection. Coal seams are a good medium for electromagnetic wave propagation and have a more obvious reaction to gangue. It is an effective tool for detecting the amount of gangue in coal seams.
[0004] Therefore, the present invention proposes a method for calculating the gangue content based on geological radar. By collecting and processing on-site geological radar data, a characteristic amplitude-gangue content calculation model is established to realize automatic real-time and accurate calculation of the gangue content of the top coal seam, thereby providing data support for the automation of the top coal caving working face and improving coal production quality and production efficiency. Summary of the invention
[0005] The purpose of the present invention is to obtain the gangue content of coal seams during top coal caving mining, and provide data support for coal caving automation. To achieve this purpose, the present invention proposes a method for calculating the gangue content based on geological radar. In order to achieve the above purpose, the steps taken by the present invention are as follows:
[0006] Step S1: Use geological radar to detect coal seams with different gangue contents, obtain reflected wave data, and perform preprocessing.
[0007] Step S2: Calculate the characteristic amplitude corresponding to different gangue contents using the preprocessed data.
[0008] Step S3: Establish a gangue content calculation model based on the known gangue content and the corresponding characteristic amplitude.
[0009] Step S4: During the top coal caving mining process, a geological radar is used to detect the top coal seam to obtain multiple reflection wave data, and pre-process them to calculate the characteristic amplitude of each data.
[0010] Step S5: using the calculated multiple characteristic amplitudes to obtain the current corrected characteristic amplitude of the caving coal seam.
[0011] Step S6: Calculate the current gangue content of the caving coal seam through the current corrected characteristic amplitude and the gangue content calculation model.
[0012] The different gangue contents in step S1 have at least 10 values, which are in an arithmetic progression and have a value range of 0 to 1. When the gangue content is 0, the detection object is coal, and when the gangue content is 1, the detection object is gangue.
[0013] The reflected wave data in step S1 are the results of continuous detection of a uniform coal seam with a fixed gangue content by the geological radar. The reflected wave data obtained from the detection of each coal seam with a fixed gangue content contains multiple channels of data.
[0014] The preprocessing method in step S1 includes direct wave removal, filtering, gain and other preprocessing methods.
[0015] The characteristic amplitude calculation method in step S2 is to obtain a channel of data by taking an average value of the preprocessed multiple reflection wave data, and then taking an absolute average value of the channel of data, which is the characteristic amplitude.
[0016] The calculation model in step S3 is based on the least square method to fit the curve of known gangue content and characteristic amplitude, and establish a relationship model between the gangue content and the characteristic amplitude.
[0017] The characteristic amplitude in step S4 is calculated by taking the absolute average value of the single-channel data, which is the characteristic amplitude of the single-channel data.
[0018] The current corrected characteristic amplitude of the top coal seam in step S5 is firstly obtained by fitting a curve, i.e., the correction curve, based on the least squares method using the calculated multiple characteristic amplitudes, and then obtaining the current characteristic amplitude of the top coal seam, i.e., the corrected characteristic amplitude, on the correction curve.
[0019] The current gangue content of the caving coal seam in step S6 is obtained by bringing the current corrected characteristic amplitude of the caving coal seam into the gangue content calculation model to calculate the gangue content corresponding to this characteristic amplitude, that is, the current gangue content of the caving coal seam.
[0020] Beneficial effects: Compared with the prior art, the beneficial effects of the present invention are:
[0021] The present invention proposes a method for calculating the gangue content based on geological radar, which can realize the rapid and automatic detection of the gangue content of coal seams during top coal caving. By collecting and processing the on-site geological radar data, a characteristic amplitude-gangue content calculation model is established. In this way, in the actual detection process, the gangue content of the top coal seam is automatically and accurately calculated in real time according to the calculation model, which improves the accuracy and reliability of the calculation of the gangue content, provides data support for coal caving automation, and improves the quality and efficiency of coal production. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 This is a flow chart of a method for calculating gangue content based on geological radar provided in Example 1.
[0023] Figure 2 This is the preprocessed data of geological radar reflection wave.
[0024] Figure 3 It is the relationship model curve between gangue content and characteristic amplitude.
[0025] Figure 4 It is the correction curve and the current correction characteristic amplitude of the top coal seam. DETAILED DESCRIPTION
[0026] In order to make the purpose and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments:
[0027] Embodiment 1:
[0028] This example provides a method for calculating the amount of gangue based on geological radar, which specifically includes the following steps:
[0029] Step S1: Use geological radar to detect coal seams with different gangue contents, obtain reflected wave data, and perform preprocessing. Different gangue contents are 0, 0.1, 0.2, 0.3, ... 1, with a total of 11 gangue contents. When the gangue content is 0, the detection object is coal, and when the gangue content is 1, the detection object is gangue. The preprocessing method includes direct wave removal, filtering and gain preprocessing methods. The processing results of the reflected wave data when the gangue content is 0.2 are shown in the attached figure. Figure 2 There are 100 data tracks in total, and each track has 512 data points.
[0030] Step S2: Calculate the characteristic amplitudes corresponding to 11 kinds of gangue contents using the preprocessed data. For example, take the average value of 100 reflection wave data obtained when the gangue content is 0.2 to obtain one data, and then take the absolute average value of this data, which is the characteristic amplitude.
[0031] Step S3: Establish a calculation model for the gangue content based on the known gangue content and the corresponding characteristic amplitude; fit the curve of the known gangue content and the characteristic amplitude based on the least squares method to establish a relationship model between the gangue content and the characteristic amplitude, as shown in the attached figure. Figure 3 .
[0032] Step S4: During the top coal caving mining process, the top coal caving seam is detected by geological radar to obtain multiple reflection wave data, and pre-process them to calculate the characteristic amplitude of each data channel. The absolute average value of the single data channel is taken as the characteristic amplitude of this data channel.
[0033] Step S5: Use the calculated multiple characteristic amplitudes to obtain the current corrected characteristic amplitude of the caving coal seam. First, use the multiple characteristic amplitudes calculated in step S4 to fit a curve based on the least squares method, i.e., the correction curve. Then, obtain the current characteristic amplitude of the caving coal seam on the correction curve, i.e., the corrected characteristic amplitude, such as Figure 4 .
[0034] Step S6: Calculate the current gangue content of the caving coal seam by using the current corrected characteristic amplitude and the gangue content calculation model. By bringing the current corrected characteristic amplitude of the caving coal seam into the gangue content calculation model, the gangue content corresponding to this characteristic amplitude is calculated, that is, the current gangue content of the caving coal seam.
[0035] The present invention uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.
Claims
1. The present invention provides a method for calculating the gangue content based on geological radar, the purpose of which is to obtain the gangue content of coal seams during top coal caving, provide data support for coal caving automation, and improve coal production quality and production efficiency. It includes the following steps: Step S1: Use geological radar to detect coal seams with different gangue contents, obtain reflected wave data, and perform preprocessing. Step S2: Calculate the characteristic amplitude corresponding to different gangue contents using the preprocessed data. Step S3: Establish a gangue content calculation model based on the known gangue content and the corresponding characteristic amplitude. Step S4: During the top coal caving mining process, a geological radar is used to detect the top coal caving seam to obtain multiple reflection wave data, and pre-process the data to calculate the characteristic amplitude of each data. Step S5: using the calculated multiple characteristic amplitudes to obtain the current corrected characteristic amplitude of the caving coal seam. Step S6: Calculate the current gangue content of the caving coal seam through the current corrected characteristic amplitude and the gangue content calculation model.
2. The method for calculating the amount of gangue based on geological radar according to claim 1, characterized in that: The reflected wave data in step S1 are the results of continuous detection of a uniform coal seam with a fixed gangue content by a geological radar, and the reflected wave data obtained from the detection of each coal seam with a fixed gangue content includes multiple channels of data.
3. The method for calculating the amount of gangue based on geological radar according to claim 1 is characterized in that: The characteristic amplitude in step S2 is calculated by taking an average value of the multiple reflection wave data preprocessed in step S1 to obtain a piece of data, and then taking an absolute average value of the piece of data, which is the characteristic amplitude.
4. The method for calculating the amount of gangue based on geological radar according to claim 1 is characterized in that: The calculation model in step S3 is to establish a relationship model between the gangue content and the characteristic amplitude by fitting the curve of the known gangue content and the characteristic amplitude based on the least square method.
5. The method for calculating the amount of gangue based on geological radar according to claim 1 is characterized in that: The characteristic amplitude in step S4 is calculated by taking the absolute average value of the single-channel data, which is the characteristic amplitude of the single-channel data.
6. The method for calculating the amount of gangue based on geological radar according to claim 1 is characterized in that: The current corrected characteristic amplitude of the top coal seam in step S5 is firstly obtained by fitting a curve, i.e., the correction curve, based on the least squares method using the calculated multiple characteristic amplitudes, and then obtaining the current characteristic amplitude of the top coal seam, i.e., the corrected characteristic amplitude, on the correction curve.
7. The method for calculating the amount of gangue based on geological radar according to claim 1 is characterized in that: The current gangue content of the caving coal seam in step S6 is obtained by bringing the current corrected characteristic amplitude of the caving coal seam into the gangue content calculation model to calculate the gangue content corresponding to this characteristic amplitude, that is, the current gangue content of the caving coal seam.