Construction method and construction system of coal mine pressure strength model

Abstract

The invention discloses a construction system of a coal mine pressure intensity model. The construction system comprises an information collection module, a database information comparison module, an abnormal data positioning module, a real-time calculation module, an abnormal data plane generation module, a local data three-dimensional pressure intensity model construction module, an overall plane generation module and a three-dimensional pressure intensity model generation module. The invention further discloses a construction method of the coal mine pressure strength model. According to the modeling method of the coal mine pressure intensity model, the problems that in the prior art, the mine pressure intensity data and the geological data cannot be well fused from the three-dimensional angle, and meanwhile detailed recording and analysis of the influence of mining activities on the mine pressure intensity are lacked in the time dimension are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of three-dimensional model construction, and specifically relates to a method for constructing a coal mine pressure strength model. The present invention also relates to a construction system for the above-mentioned coal mine pressure strength model construction method. Background Art

[0002] With the increase in the depth and intensity of coal mining, dynamic disasters such as rock burst in mines are becoming increasingly severe, seriously threatening the safety of coal mining and causing serious human and economic losses. Statistical analysis shows that all types of coal seams have experienced rock bursts, with geological structures ranging from simple to complex, coal seams from thin to very thick, and inclinations from horizontal to steep. Conglomerate, sandstone, limestone, and shale roofs have all experienced rock bursts. Therefore, the occurrence of rock bursts is fundamentally due to the complexity of the actual geological conditions of the mine. At present, the rock burst intensity data and geological data have not been well integrated, analyzed, and displayed from a three-dimensional perspective. At the same time, there is also a lack of detailed records and analysis of the impact of mining activities on rock burst intensity in the time dimension. From the perspective of modeling, the existing technologies all establish models for the entire mining area or the working face, and have not established a targeted rock burst intensity model and independently modeled and located the rock burst intensity abnormal area. For this reason, we propose a coal mine rock burst intensity modeling method and system. Summary of the invention

[0003] The purpose of the present invention is to provide a method for constructing a coal mine pressure intensity model, which solves the problem that the existing technology fails to integrate the pressure intensity data with the geological data from a three-dimensional perspective, and lacks detailed records and analysis of the impact of mining activities on the pressure intensity in the time dimension.

[0004] The second object of the present invention is to provide a construction system for the above-mentioned coal mine pressure strength model construction method.

[0005] The first technical solution adopted by the present invention is a method for constructing a coal mine pressure strength model, and the specific method is as follows: S1. Collect coal mine information data through the information collection module and integrate and classify it; S2, entering the collected coal mine information data into the database, comparing it with the database information through the database information comparison module, and screening the data information; S3. Abnormal mine pressure data is found through comparison, the coordinates of the abnormal data are located using the abnormal data positioning module, and the abnormal data information is collected; S4. Perform real-time deduction of abnormal data information through a real-time calculation module to determine the behavior of the abnormal data within a set time; S5, the abnormal data plane generation module generates a local abnormal data map according to part of the abnormal data information, and then the local data three-dimensional mine pressure intensity model construction module establishes a local data abnormal model according to the generated local abnormal data map; S6. Importing the basic data of the coal mine into the overall plane generation module to generate the overall mine pressure intensity zoning map of the coal mine; S7. According to the structural data of strata, lithology, faults and the overall mine pressure intensity zoning map of the coal mine, a three-dimensional mine pressure intensity model is established in combination with the imported data such as altitude and sand-to-soil ratio.

[0006] The present invention is also characterized in that: The coal mine information data in S1 includes the geological data of the coal mine, the mine pressure intensity, the basic information inside the mine cave and the comprehensive data; When performing data integration and classification, data preprocessing is first performed, and the collected mining pressure intensity data is preprocessed by data cleaning, denoising, interpolation, etc. to complete the integration and classification of information data.

[0007] In S2, the mine pressure intensity data of the mining area is specifically entered into the database for comparison. The specific method is to import the mine pressure intensity information into the database, divide it into separate data, and compare it with the database information to screen the data.

[0008] The specific method of S3 is: use GPS, Beidou and Digital Element in the abnormal data positioning module to locate the coordinates of the data anomaly and collect the abnormal data information.

[0009] The specific method of real-time calculation of abnormal data by the real-time calculation module in S4 is: comprehensive analysis of the real-time monitoring data, historical data and related geological data and mine pressure intensity data associated with the abnormal data, and visualization of these data using charts; During the data processing, the abnormal data will first be cleaned to remove noise and invalid data to ensure the accuracy and reliability of the data. Then, mathematical models and algorithms will be used to deduce the abnormal data to simulate its changing trend and possible behavior within a set time. During the deduction process, the mathematical model parameters and algorithms are continuously adjusted according to the fluctuations of abnormal data, changing trends and correlation with surrounding data to obtain more accurate deduction results, which are then output in the form of charts.

[0010] Charts include line graphs and scatter plots; mathematical models and algorithms include time series analysis and regression analysis.

[0011] In S5, by comparing the abnormal data according to different abnormal situations, the data with larger abnormal data has a higher priority in generating the plane map.

[0012] In S6, the contour method is used to draw contour lines to represent the plane distribution range of different mine pressure intensities.

[0013] The second technical solution adopted by the present invention is a system for constructing a coal mine pressure intensity model, which is used to complete the above-mentioned method for constructing a coal mine pressure intensity model, including an information collection module: collecting information on the entire coal mine, and collecting and processing local information in detail; Database information comparison module: compares the collected information data with the database information and refines the abnormal data; Abnormal data location module: Use the location tool to locate the coordinates of abnormal data and collect data at the same time; Real-time calculation module: performs real-time deduction of abnormal data to generate deduction results according to the set time; Abnormal data plane generation module: generates a local abnormal data graph based on partial abnormal data information; Local data three-dimensional mine pressure intensity model construction module: construct its local data anomaly model according to the local anomaly data graph; Overall plane generation module: import the mining pressure intensity data of the entire mining area and generate a data plane map; Three-dimensional mine pressure strength model module generation: Generate a three-dimensional mine pressure strength model based on the data plane map and integrate the data.

[0014] The beneficial effects of the present invention are: The modeling method of the coal mine pressure strength model of the present invention collects basic information of the coal mine, enters it into a database for comparison, screens out abnormal data, locates the coordinates of the abnormal data, collects the location coordinate information, and then performs real-time deduction on the abnormal data to determine the behavior of the abnormal data within a set time, and then generates a separate data graph by processing the abnormal data, constructs a local data abnormal model according to the abnormal data graph, generates a plane abnormal data graph, and finally imports the basic data of the coal mine to produce an overall coal mine pressure strength zoning map, and establishes a three-dimensional coal mine pressure strength model. The construction method of the coal mine pressure strength model of the present invention well integrates the pressure strength data with the geological data from a three-dimensional perspective, and at the same time records and analyzes the impact of mining activities on the pressure strength in detail from the time dimension, thereby improving practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic flow chart of a modeling method of a coal mine pressure strength model of the present invention. DETAILED DESCRIPTION

[0016] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] The construction method of coal mine pressure strength model, such as Figure 1 As shown, the specific method is as follows: S1. Collect coal mine information data through the information collection module and integrate and classify it; the coal mine information data includes geological data of the coal mine, mine pressure intensity, basic information inside the mine cave and comprehensive data; When performing data integration and classification, data preprocessing is first performed, and the collected mining pressure intensity data is preprocessed by data cleaning, denoising, interpolation, etc. to complete the integration and classification of information data.

[0018] S2. Enter the collected coal mine information data into the database, specifically enter the mine pressure intensity data of the mining area into the database for comparison, compare it with the database information through the database information comparison module, and filter the data information; the specific method is: by importing the mine pressure intensity information into the database, dividing it into separate data, and comparing it with the database information, the data is filtered.

[0019] S3. Abnormal mine pressure data is discovered through comparison, and the coordinates of the data anomaly are located using GPS, Beidou and DigitalElement in the abnormal data positioning module, and the abnormal data information is collected.

[0020] S4. Real-time deduction of abnormal data information is performed through the real-time calculation module to determine the behavior of abnormal data within a set time; the specific method of the real-time calculation module for real-time calculation of abnormal data is: comprehensive analysis of real-time monitoring data, historical data and related geological data, and mine pressure intensity data associated with the abnormal data, and visualization of these data using charts (such as line charts, scatter plots, etc.); During the data processing, the abnormal data will first be cleaned to remove noise and invalid data to ensure the accuracy and reliability of the data. Then, mathematical models and algorithms (such as time series analysis, regression analysis, etc.) will be used to deduce the abnormal data to simulate its changing trend and possible behavior within a set time. During the deduction process, the mathematical model parameters and algorithms are continuously adjusted according to the fluctuations of the abnormal data, the changing trend and the correlation with the surrounding data to obtain more accurate deduction results. Finally, the deduction results are output in the form of charts to intuitively display the behavior of the abnormal data within the set time, providing an important reference for subsequent mine pressure intensity modeling and data analysis.

[0021] S5, the abnormal data plane generation module generates a local abnormal data map according to part of the abnormal data information, and then the local data three-dimensional mine pressure intensity model construction module establishes a local data abnormal model according to the generated local abnormal data map; According to different abnormal situations, by comparing the abnormal data, the data with larger abnormal data has a higher priority in generating the floor plan.

[0022] S6. Importing the basic data of the coal mine into the overall plane generation module to generate the overall mine pressure intensity zoning map of the coal mine; Specifically, the contour line method is used to draw contour lines to represent the plane distribution range of different mine pressure intensities.

[0023] S7. According to the structural data of strata, lithology, faults and the overall mine pressure intensity zoning map of the coal mine, a three-dimensional mine pressure intensity model is established in combination with the imported data such as altitude and sand-to-soil ratio.

[0024] The system for constructing a coal mine pressure intensity model is used to complete the method for constructing the above-mentioned coal mine pressure intensity model, including an information collection module: collecting information about the entire coal mine and collecting and processing local information in detail; Database information comparison module: compares the collected information data with the database information and refines the abnormal data; Abnormal data location module: Use the location tool to locate the coordinates of abnormal data and collect data at the same time; Real-time calculation module: performs real-time deduction of abnormal data to generate deduction results according to the set time; Abnormal data plane generation module: generates a local abnormal data graph based on partial abnormal data information; Local data three-dimensional mine pressure intensity model construction module: construct its local data anomaly model according to the local anomaly data graph; Overall plane generation module: import the mining pressure intensity data of the entire mining area and generate a data plane map; Three-dimensional mine pressure strength model module generation: Generate a three-dimensional mine pressure strength model based on the data plane map and integrate the data.

[0025] Example 1 The construction method of coal mine pressure strength model is as follows: S1. Collect coal mine information data through the information collection module and integrate and classify it; S2, entering the collected coal mine information data into the database, comparing it with the database information through the database information comparison module, and screening the data information; S3. Abnormal mine pressure data is found through comparison, the coordinates of the abnormal data are located using the abnormal data positioning module, and the abnormal data information is collected; S4. Perform real-time deduction of abnormal data information through a real-time calculation module to determine the behavior of the abnormal data within a set time; S5, the abnormal data plane generation module generates a local abnormal data map according to part of the abnormal data information, and then the local data three-dimensional mine pressure intensity model construction module establishes a local data abnormal model according to the generated local abnormal data map; S6. Importing the basic data of the coal mine into the overall plane generation module to generate the overall mine pressure intensity zoning map of the coal mine; S7. According to the structural data of strata, lithology, faults and the overall mine pressure intensity zoning map of the coal mine, a three-dimensional mine pressure intensity model is established in combination with the imported data such as altitude and sand-to-soil ratio.

[0026] Example 2 The construction method of coal mine pressure strength model is as follows: S1. Collect coal mine information data through the information collection module and integrate and classify it; S2, entering the collected coal mine information data into the database, comparing it with the database information through the database information comparison module, and screening the data information; S3. Abnormal mine pressure data is found through comparison, the coordinates of the abnormal data are located using the abnormal data positioning module, and the abnormal data information is collected; S4. Real-time deduction of abnormal data information is performed through the real-time calculation module to determine the behavior of abnormal data within a set time; the specific method of the real-time calculation module for real-time calculation of abnormal data is: comprehensive analysis of real-time monitoring data, historical data and related geological data, and mine pressure intensity data associated with the abnormal data, and visualization of these data using charts (such as line charts, scatter plots, etc.); During the data processing, the abnormal data will first be cleaned to remove noise and invalid data to ensure the accuracy and reliability of the data. Then, mathematical models and algorithms (such as time series analysis, regression analysis, etc.) will be used to deduce the abnormal data to simulate its changing trend and possible behavior within a set time. During the deduction process, the mathematical model parameters and algorithms are continuously adjusted according to the fluctuations of the abnormal data, the changing trend and the correlation with the surrounding data to obtain more accurate deduction results. Finally, the deduction results are output in the form of charts to intuitively display the behavior of the abnormal data within the set time, providing an important reference for subsequent mine pressure intensity modeling and data analysis.

[0027] S5, the abnormal data plane generation module generates a local abnormal data map according to part of the abnormal data information, and then the local data three-dimensional mine pressure intensity model construction module establishes a local data abnormal model according to the generated local abnormal data map; S6. Importing the basic data of the coal mine into the overall plane generation module to generate the overall mine pressure intensity zoning map of the coal mine; S7. According to the structural data of strata, lithology, faults and the overall mine pressure intensity zoning map of the coal mine, a three-dimensional mine pressure intensity model is established in combination with the imported data such as altitude and sand-to-soil ratio.

[0028] Example 3 The system for constructing a coal mine pressure intensity model is used to complete the method for constructing the above-mentioned coal mine pressure intensity model, including an information collection module: collecting information about the entire coal mine and collecting and processing local information in detail; Database information comparison module: compares the collected information data with the database information and refines the abnormal data; Abnormal data location module: Use the location tool to locate the coordinates of abnormal data and collect data at the same time; Real-time calculation module: performs real-time deduction of abnormal data to generate deduction results according to the set time; Abnormal data plane generation module: generates a local abnormal data graph based on partial abnormal data information; Local data three-dimensional mine pressure intensity model construction module: construct its local data anomaly model according to the local anomaly data graph; Overall plane generation module: import the mining pressure intensity data of the entire mining area and generate a data plane map; Three-dimensional mine pressure strength model module generation: Generate a three-dimensional mine pressure strength model based on the data plane map and integrate the data.

Claims

1. A method for constructing a coal mine pressure strength model, characterized in that: The specific method is as follows: S1. Collect coal mine information data through the information collection module and integrate and classify it; S2, entering the collected coal mine information data into the database, comparing it with the database information through the database information comparison module, and screening the data information; S3. Abnormal mine pressure data is found through comparison, the coordinates of the abnormal data are located using the abnormal data positioning module, and the abnormal data information is collected; S4. Perform real-time deduction of abnormal data information through a real-time calculation module to determine the behavior of the abnormal data within a set time; S5, the abnormal data plane generation module generates a local abnormal data map according to part of the abnormal data information, and then the local data three-dimensional mine pressure intensity model construction module establishes a local data abnormal model according to the generated local abnormal data map; S6. Importing the basic data of the coal mine into the overall plane generation module to generate the overall mine pressure intensity zoning map of the coal mine; S7. According to the structural data of strata, lithology, faults and the overall mine pressure intensity zoning map of the coal mine, a three-dimensional mine pressure intensity model is established in combination with the imported data such as altitude and sand-to-soil ratio.

2. The method for constructing a coal mine pressure strength model according to claim 1, characterized in that: The coal mine information data in S1 includes the geological data of the coal mine, the mine pressure intensity, the basic information inside the mine cave and the comprehensive data; When performing data integration and classification, data preprocessing is first performed, and the collected mining pressure intensity data is preprocessed by data cleaning, denoising, interpolation, etc. to complete the integration and classification of information data.

3. The method for constructing a coal mine pressure strength model according to claim 1, characterized in that: In the S2, the mine pressure intensity data of the mining area is specifically entered into the database for comparison. The specific method is to import the mine pressure intensity information into the database, divide it into separate data, and compare it with the database information to screen the data.

4. The method for constructing a coal mine pressure strength model according to claim 1, characterized in that: The specific method of S3 is: using GPS, Beidou and Digital Element in the abnormal data positioning module to locate the coordinates of the data anomaly and collect the abnormal data information.

5. The method for constructing a coal mine pressure strength model according to claim 1, characterized in that: The specific method of the real-time calculation module in S4 for real-time calculation of abnormal data is: comprehensive analysis of real-time monitoring data, historical data and related geological data, and mine pressure intensity data associated with the abnormal data, and visualization of these data using charts; During the data processing, the abnormal data will first be cleaned to remove noise and invalid data to ensure the accuracy and reliability of the data. Then, mathematical models and algorithms will be used to deduce the abnormal data to simulate its changing trend and possible behavior within a set time. During the deduction process, the mathematical model parameters and algorithms are continuously adjusted according to the fluctuations of abnormal data, changing trends and correlation with surrounding data to obtain more accurate deduction results, which are then output in the form of charts.

6. The method for constructing a coal mine pressure strength model according to claim 5, characterized in that: The charts include line charts and scatter plots; the mathematical models and algorithms include time series analysis and regression analysis.

7. The method for constructing a coal mine pressure strength model according to claim 1, characterized in that: In S5, by comparing the abnormal data according to different abnormal situations, the data with larger abnormal data has a higher priority in generating the plan view.

8. The method for constructing a coal mine pressure strength model according to claim 1, characterized in that: In S6, contour lines are drawn using the contour line method to represent the plane distribution range of different mine pressure intensities.

9. A system for constructing a coal mine pressure strength model, used to complete the method for constructing a coal mine pressure strength model according to any one of claims 1 to 7, characterized in that: It includes information collection module: collect information about the coal mine as a whole, and collect and process local information in detail; Database information comparison module: compares the collected information data with the database information and refines the abnormal data; Abnormal data location module: Use the location tool to locate the coordinates of abnormal data and collect data at the same time; Real-time calculation module: performs real-time deduction of abnormal data to generate deduction results according to the set time; Abnormal data plane generation module: generates a local abnormal data graph based on partial abnormal data information; Local data three-dimensional mine pressure intensity model construction module: construct its local data anomaly model according to the local anomaly data graph; Overall plane generation module: import the mining pressure intensity data of the entire mining area and generate a data plane map; Three-dimensional mine pressure strength model module generation: Generate a three-dimensional mine pressure strength model based on the data plane map and integrate the data.

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