Real-time monitoring system for coal resources in coal mine area

Abstract

The invention provides a real-time monitoring system for coal resources in a coal mine area, relates to the technical field of coal mine resource calculation, and aims to efficiently and accurately monitor the remaining amount of the coal resources in the coal mine area, and the real-time monitoring system comprises a first detection module used for obtaining the total amount of initial coal resources in the coal mine area; the model establishing module is used for establishing a coal resource mining model; the remaining amount calculation module is used for obtaining the coal resource mining amount every day through the coal resource mining model, and then obtaining the remaining amount of the coal resources; the second detection module is used for correcting the residual amount of the coal resources periodically; and the model correction module is used for correcting parameters of the coal resource mining model when the correction amount for correcting the residual amount of the coal resources is greater than a preset threshold value. The method has the advantages of higher prediction adaptability and higher accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine resource calculation, and in particular to a real-time monitoring system for coal resources in a coal mine area. Background Art

[0002] Coal mining is an important link in fields such as energy mining and geological survey.

[0003] In the process of coal mining, it is necessary to establish monitoring of the amount of coal resources in the coal mining area, and to improve the utilization efficiency of coal resources and ensure the safety and sustainability of the mining process by analyzing and feeding back the resource status of the coal mining area, safety information and environmental data during the mining process. In the prior art, the number of coal mines is generally detected in advance, and then evaluated based on the actual progress of mining every day. This method is relatively cumbersome and requires counting the mining progress every day. In order to solve this defect, the daily surplus can also be estimated, but how to make an effective and accurate estimate is a difficult problem to overcome. If complex models and other technical solutions are introduced, problems such as inefficiency will arise.

[0004] Therefore, it is necessary to design a system to achieve efficient and accurate monitoring of the remaining coal resources in the coal mining area. Summary of the invention

[0005] The object of the present invention is to provide a real-time monitoring system for coal resources in a coal mining area, which can realize efficient and accurate monitoring of the remaining amount of coal resources in the coal mining area.

[0006] The present invention is achieved through the following technical solutions:

[0007] A real-time monitoring system for coal resources in a coal mining area, comprising:

[0008] The first detection module is used to obtain the total initial coal resources in the coal mining area;

[0009] Model building module, used to build coal resource mining model;

[0010] A surplus calculation module, used to obtain the daily coal resource mining volume through the coal resource mining model, and then obtain the coal resource surplus volume according to the daily coal resource mining volume and the initial coal resource total volume;

[0011] A second detection module is used to periodically correct the remaining amount of coal resources calculated by the remaining amount calculation module;

[0012] The model correction module is used to correct the parameters of the coal resource mining model based on the model establishment module when the correction amount of the coal resource remaining amount is greater than a preset threshold.

[0013] Preferably, the method for obtaining the total amount of initial coal resources in the coal mining area is to obtain coal resources through remote sensing technology and address survey technology.

[0014] Preferably, the method for establishing a coal resource mining model is:

[0015] Obtain mining characteristic parameters;

[0016] Establishing the coal resource mining model according to the characteristic parameters;

[0017] The parameters of the coal resource exploitation model are determined based on historical experimental data.

[0018] Preferably, the mining characteristic parameters include the types and corresponding quantities of mining equipment, the types and corresponding quantities of transportation equipment, the operable area of ​​the mining area, the number of transportation equipment, the length of the transportation channel, the hardness of the coal seam and the inclination of the coal seam relative to the horizontal plane.

[0019] Preferably, the method for obtaining the inclination parameter of the coal seam relative to the horizontal plane is:

[0020] Divide the coal seam into N sub-coal seam areas based on the surface;

[0021] Respectively obtaining the inclination angle of each sub-coal seam area relative to the horizontal plane;

[0022] Calculate the inclination parameter INC:

[0023]

[0024]

[0025] inc var =var(inc i ,i=1,2,…,N);

[0026] Among them, e is a natural constant, p is an intermediate parameter, inc is the average inclination angle of all sub-coal seam areas, inc var is the variance of the inclination angle of all sub-coal seam areas, and var(.) is the variance function.

[0027] Preferably, the method for establishing the coal resource mining model according to the characteristic parameters is:

[0028]

[0029] Among them, R is the estimated coal resource extraction per day, q is the intermediate parameter, and Y j is the daily empirical mining volume of the j-th mining equipment under the standard working system, am jis the number of the jth type of mining equipment, M is the number of the mining equipment, S1 is the operable area of ​​the mining area, L1 is the length of the transportation channel, Q is the number of the transportation equipment, HD is the hardness of the coal seam, HD th1 and HD th2 is the preset comfortable hardness threshold, and α, β, γ and δ are parameters to be determined.

[0030] Preferably, the method for determining the parameters of the coal resource mining model according to historical experimental data is:

[0031] The actual parameters of historical coal mine collection are collected, substituted into the coal resource mining model, and the values ​​of α, β, γ and δ are determined by fitting through the least square method.

[0032] Preferably, the method for obtaining the remaining amount of coal resources is:

[0033]

[0034] Where total is the total initial coal resources in the coal mining area, R is the daily mining volume calculated under the initial coal resource mining model, d represents the dth mining day, corr represents the most recently revised coal mine surplus, R′ is the daily mining volume calculated under the most recently revised coal resource mining model, d ′ Represents the mining day number of the most recent revision of the coal resource mining model.

[0035] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0036] The present invention obtains the total initial coal resources in the coal mining area through the first detection module, and then estimates the daily coal resource extraction volume in real time through the surplus calculation module, so that the remaining coal resources in the coal mining area can be monitored without cumbersome statistics;

[0037] The surplus calculation module of the present invention takes into account the standard working efficiency of the equipment in the coal mining area and the influence of various external factors, including the mining difficulty and site influence caused by the nature of the coal resources themselves, which helps to obtain more accurate daily mining volume estimates and improve the reliability of coal resource surplus monitoring;

[0038] The parameters of the surplus calculation module of the present invention can be adaptively adjusted in different coal mining areas by fitting adjustment parameters, and can be applied to coal mining areas with different terrains and equipment conditions, and has strong flexibility and adaptability;

[0039] When the correction amount of the remaining amount of coal resources exceeds a preset threshold, the Tianfu model correction module can be used to correct the parameters of the model, so that the model can adapt to the changing conditions of the mining area, correct the deviations in the model in time, and improve the accuracy and adaptability of the model. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of the structure of a real-time monitoring system for coal resources in a coal mining area provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0042] Example 1

[0043] This embodiment provides a real-time monitoring system for coal resources in a coal mining area. Figure 1 , mainly including:

[0044] The first detection module is used to obtain the total initial coal resources in the coal mining area;

[0045] Model building module, used to build coal resource mining model;

[0046] A surplus calculation module, used to obtain the daily coal resource mining volume through the coal resource mining model, and then obtain the coal resource surplus volume according to the daily coal resource mining volume and the initial coal resource total volume;

[0047] A second detection module is used to periodically correct the remaining amount of coal resources calculated by the remaining amount calculation module;

[0048] The model correction module is used to correct the parameters of the coal resource mining model based on the model establishment module when the correction amount of the coal resource remaining amount is greater than a preset threshold.

[0049] Based on the above scheme, this embodiment obtains the total initial coal resources in the coal mining area through the first detection module, providing an accurate initialization data. Then, the daily coal resource extraction volume is estimated through the established surplus calculation module, so that the remaining coal resources in the coal mining area can be monitored on the basis of the total volume, combined with the number of mining days and the daily extraction volume. This process does not require cumbersome statistics or repeated measurements, and simplifies the monitoring process through system automation processing. In addition, periodic surplus correction and judging whether the model parameters need to be updated based on the correction further ensure the reliability of coal resource monitoring.

[0050] In this embodiment, the method for obtaining the total amount of initial coal resources in the coal mining area is to obtain coal resources through remote sensing technology and address survey technology. That is, both the first detection module and the second detection module can obtain coal resources through remote sensing technology and address survey technology.

[0051] As a preferred solution of this embodiment, the method for establishing a coal resource mining model is:

[0052] Obtain mining characteristic parameters;

[0053] Establishing the coal resource mining model according to the characteristic parameters;

[0054] The parameters of the coal resource exploitation model are determined based on historical experimental data.

[0055] Specifically, the mining characteristic parameters include the types and corresponding quantities of mining equipment, the types and corresponding quantities of transportation equipment, the operable area of ​​the mining area, the number of transportation equipment, the length of the transportation channel, the hardness of the coal seam and the inclination of the coal seam relative to the horizontal plane.

[0056] Generally speaking, the greater or more uneven the inclination parameter is, the greater the mining difficulty is. The method for obtaining the inclination parameter of the coal seam relative to the horizontal plane is:

[0057] Divide the coal seam into N sub-coal seam areas based on the surface;

[0058] Respectively obtaining the inclination angle of each sub-coal seam area relative to the horizontal plane;

[0059] Calculate the inclination parameter INC:

[0060]

[0061] inc var =var(inc i ,i=1,2,…,N);

[0062] Among them, e is a natural constant, p is an intermediate parameter, inc is the average inclination angle of all sub-coal seam areas, inc var is the variance of the inclination angle of all sub-coal seam areas, and var(.) is the variance function.

[0063] In the above settings, the larger the average tilt angle, the larger p is, and inc var The bigger the The larger the value, the larger p will be. That is, the increase in the average inclination angle and the increase in variance will cause INC to increase, which will facilitate the subsequent correction of the standard mining speed of the equipment through INC.

[0064] Furthermore, the method for establishing the coal resource mining model according to the characteristic parameters is:

[0065]

[0066] Among them, R is the estimated coal resource extraction per day, q is the intermediate parameter, and Y j is the daily empirical mining volume of the j-th mining equipment under the standard working system, am j is the number of the jth type of mining equipment, M is the number of the mining equipment, S1 is the operable area of ​​the mining area, L1 is the length of the transportation channel, Q is the number of the transportation equipment, HD is the hardness of the coal seam, HD th1 and HD th2 is the preset comfortable hardness threshold, and α, β, γ and δ are parameters to be determined.

[0067] The surplus calculation module of this embodiment not only relies on the initial resource volume of the coal mining area, but also comprehensively considers various factors that may affect the amount of coal resources mined during coal mining. For example, the module takes into account the standard working efficiency of the equipment in the coal mining area, and the operating performance of these equipment directly affects the mining speed and amount of coal resources. At the same time, the system also takes into account the properties of the coal resources themselves, such as the hardness of the coal seam, the terrain conditions, etc. These natural properties directly determine the difficulty and efficiency of mining. For example, too high or too low hardness will cause mining to slow down, and the narrow effective activity area on the terrain will also cause mining to slow down. Therefore, this embodiment first calculates a regular workload through the standard working speed of the equipment, and then corrects this workload through other external factors that will cause the working rate to decrease. Assuming that all equipment are running at the same time, the larger the average activity area of ​​each mining equipment, the larger the average driving space of each transportation equipment, and the closer the coal resources are to the comfortable hardness area, that is, HD th1 and HD th2 The smaller the direct and INC are, the smaller the corrected standard workload is. This design consideration of this embodiment can be applied to both outdoor and non-outdoor coal mining areas, increasing its versatility and applicability between different coal mining areas, and can be widely used in coal mine resource management in various environments.

[0068] Next, the method for determining the parameters of the coal resource mining model according to historical experimental data is as follows:

[0069] The actual parameters of historical coal mine collection are collected, substituted into the coal resource mining model, and the values ​​of α, β, γ and δ are determined by fitting through the least square method.

[0070] Finally, the method for obtaining the remaining amount of coal resources is:

[0071]

[0072] Where total is the total initial coal resources in the coal mining area, R is the daily mining volume calculated under the initial coal resource mining model, d represents the dth mining day, corr represents the most recently revised coal mine surplus, R′ is the daily mining volume calculated under the most recently revised coal resource mining model, d ′ Represents the mining day number of the most recent revision of the coal resource mining model.

[0073] Under the joint action of the second detection module and the model correction module, when the correction amount of the remaining amount of coal resources exceeds the preset threshold, the system will trigger the model correction module, which will correct the parameters of the surplus calculation model to ensure that the system can adapt to the changing conditions of the coal mining area. Because in the actual mining process, due to the geological conditions, mining equipment, external environment and other factors of the mining area may change during the coal mining process, resulting in deviations in the original model, it is necessary to correct these deviations in time through the model correction module. The correction process set in this embodiment not only ensures the accuracy of the model, but also improves the adaptability of the system, enabling it to cope with the ever-changing conditions in the coal mining area. Through this dynamic adjustment mechanism, the system can continuously optimize coal resource monitoring and mining plans to ensure that the mining of coal resources is more efficient and sustainable.

[0074] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. 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 real-time monitoring system for coal resources in a coal mining area, characterized in that: include: The first detection module is used to obtain the total initial coal resources in the coal mining area; Model building module, used to build coal resource mining model; A surplus calculation module, used to obtain the daily coal resource mining volume through the coal resource mining model, and then obtain the coal resource surplus volume according to the daily coal resource mining volume and the initial coal resource total volume; A second detection module is used to periodically correct the remaining amount of coal resources calculated by the remaining amount calculation module; The model correction module is used to correct the parameters of the coal resource mining model based on the model establishment module when the correction amount of the coal resource remaining amount is greater than a preset threshold.

2. A real-time monitoring system for coal resources in a coal mining area according to claim 1, characterized in that: The method for obtaining the total amount of initial coal resources in the coal mining area is to obtain coal resources through remote sensing technology and address survey technology.

3. A real-time monitoring system for coal resources in a coal mining area according to claim 1, characterized in that: The method for establishing the coal resource mining model is: Obtain mining characteristic parameters; Establishing the coal resource mining model according to the characteristic parameters; The parameters of the coal resource exploitation model are determined based on historical experimental data.

4. A real-time monitoring system for coal resources in a coal mining area according to claim 9, characterized in that: The mining characteristic parameters include the types and corresponding quantities of mining equipment, the types and corresponding quantities of transportation equipment, the operable area of ​​the mining area, the number of transportation equipment, the length of the transportation channel, the hardness of the coal seam and the inclination of the coal seam relative to the horizontal plane.

5. A real-time monitoring system for coal resources in a coal mining area according to claim 4, characterized in that: The method for obtaining the inclination parameter of the coal seam relative to the horizontal plane is: Divide the coal seam into N sub-coal seam areas based on the surface; Respectively obtaining the inclination angle of each sub-coal seam area relative to the horizontal plane; Calculate the inclination parameter INC: inc. var =var(inc i ,i=1,2,...,N); Among them, e is a natural constant, p is an intermediate parameter, inc is the average inclination angle of all sub-coal seam areas, inc var is the variance of the inclination angle of all sub-coal seam areas, and var(.) is the variance function.

6. A real-time monitoring system for coal resources in a coal mining area according to claim 5, characterized in that: The method for establishing the coal resource mining model according to the characteristic parameters is: Among them, R is the estimated coal resource extraction per day, q is the intermediate parameter, and Y j is the daily empirical mining volume of the j-th mining equipment under the standard working system, am j is the number of the jth type of mining equipment, M is the number of the mining equipment, S1 is the operable area of ​​the mining area, L1 is the length of the transportation channel, Q is the number of the transportation equipment, HD is the hardness of the coal seam, HD th1 and HD th2 is the preset comfortable hardness threshold, and α, β, γ and δ are parameters to be determined.

7. A real-time monitoring system for coal resources in a coal mining area according to claim 6, characterized in that: The method for determining the parameters of the coal resource mining model based on historical experimental data is: The actual parameters of historical coal mine collection are collected, substituted into the coal resource mining model, and the values ​​of α, β, γ and δ are determined by fitting through the least square method.

8. A real-time monitoring system for coal resources in a coal mining area according to claim 1, characterized in that: The method for obtaining the remaining amount of coal resources is: Among them, total is the initial total amount of coal resources in the coal mining area, R is the daily mining volume calculated under the initial coal resource mining model, d represents the dth mining day, corr represents the most recently revised coal mine surplus, R′ is the daily mining volume calculated under the most recently revised coal resource mining model, and d′ represents the mining day number of the most recently revised coal resource mining model.

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