Intelligent mine pressure monitoring method based on underground coal mine multi-source heterogeneous data fusion

Abstract

The invention relates to a mine pressure intelligent monitoring method based on underground coal mine multi-source heterogeneous data fusion. The mine pressure display rule of a working face can be accurately analyzed. The system plays a role in promoting the development of big data intelligent acquisition, analysis, perception and intelligent early warning of a mine safety monitoring system. A big data analysis means is adopted to overcome the defects of a traditional manual and semi-manual mode facing huge data volume, regional analysis and screening processing are performed on mine pressure data, accurate mine pressure analysis is achieved, and the requirement for guiding field production practice is met. The intelligent mine pressure monitoring system based on the mass mine pressure data is constructed, so that unified data management of the mine is facilitated, and the system has practical significance in improving the intelligent mine construction and scientific management level.

Description

Technical Field

[0001] The present application relates to the field of coal mining and big data technology, and in particular, to an intelligent monitoring method for mine pressure based on the fusion of multi-source heterogeneous data in coal mines. Background Art

[0002] As the coal mining face continues to be mined, the overlying rock strata periodically become unstable and collapse, causing periodic pressure on the roof of the working face. The analysis and prediction of the mine pressure law has always been the focus and difficulty of mine pressure research. Accurate analysis of the mine pressure law of the coal mining face roof is the prerequisite for intelligent monitoring of the mine pressure law. Traditional mine pressure analysis often uses the working resistance of a single hydraulic support to represent a range of support data to analyze the mine pressure manifestation law. This method is not rigorous, and errors are bound to occur during the calculation process, resulting in inaccurate analysis results. Secondly, the traditional mine pressure analysis function based on the hydraulic support electro-hydraulic control system is weak, and mainly relies on manual recording methods to record the pressure data of the support electro-hydraulic control panel for each operation cycle, which is time-consuming and labor-intensive, and has extremely low work efficiency and is prone to errors. Summary of the invention

[0003] In order to overcome at least one shortcoming in the prior art, the present application provides a method for intelligent monitoring of mine pressure based on multi-source heterogeneous data fusion in coal mines.

[0004] In a first aspect, a method for intelligent monitoring of mine pressure based on multi-source heterogeneous data fusion in coal mines is provided, comprising:

[0005] The mine pressure monitoring data of multiple overlapping points in the target area are obtained within the same time period; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points;

[0006] For each mining pressure monitoring technology at each overlapping point, the difference before and after fusion is determined based on the multifaceted function;

[0007] Determine the main mine pressure monitoring technology among various mine pressure monitoring technologies, and determine the stress data corresponding to the main mine pressure monitoring technology based on the data of multiple measuring points obtained by the main mine pressure monitoring technology;

[0008] The stress data corresponding to the main mine pressure monitoring technology is accumulated with the difference before and after fusion corresponding to all mine pressure monitoring technologies to obtain the fused data corresponding to each overlapping point.

[0009] In one embodiment, for each mine pressure monitoring technology at each overlapping point, the difference before and after fusion is determined based on a multifaceted function, using the following formula:

[0010]

[0011] Among them, ΔS im represents the difference before and after fusion of the mth type of mine pressure monitoring technology at the i-th coincidence point, a jm represents the polyhedral function coefficient corresponding to the jth measuring point of the mth type of mine pressure monitoring technology, n is the number of measuring points, (x i ,y i ) is the position coordinate of the i-th coincident point, (x k ,y k ) is the position coordinate of the core measuring point among the n measuring points of the m-th type of mine pressure monitoring technology;

[0012] The multifaceted function coefficients satisfy the following formula:

[0013] a i =(Q T Q) -1 Q T S i

[0014]

[0015]

[0016] Among them, a i is the multifaceted function coefficient matrix of the i-th coincident point, a jm for a i The element in the jth row and mth column, M is the number of mine pressure monitoring technologies; Q is the intermediate matrix, Q im is the element in the i-th row and m-th column of Q, (x i ,y i ) is the position coordinate of the i-th coincident point, (x k ,y k ) is the position coordinate of the core measuring point among the n measuring points of the m-th type of mine pressure monitoring technology; S i is the difference vector before and after the fusion of the i-th coincident point, ΔS im For S i The mth element in .

[0017] In one embodiment, the mine pressure monitoring data acquired by the multiple mine pressure monitoring technologies include support working resistance, roof delamination, drilling stress, anchor axial force, and microseismicity.

[0018] In one embodiment, the method further comprises:

[0019] The time base and space base of the mine pressure monitoring data obtained by various mine pressure monitoring technologies are unified so that the mine pressure monitoring data are in the same time base and space base.

[0020] In the second aspect, a mine pressure intelligent monitoring device based on multi-source heterogeneous data fusion in coal mines is provided, comprising:

[0021] The data acquisition module is used to acquire the mine pressure monitoring data of multiple overlapping points in the target area within the same time period; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points;

[0022] The difference determination module is used to determine the difference before and after fusion based on the multifaceted function for each mine pressure monitoring technology at each overlapping point;

[0023] A stress data determination module is used to determine the main mine pressure monitoring technology among multiple mine pressure monitoring technologies, and determine the stress data corresponding to the main mine pressure monitoring technology based on the data of multiple measuring points obtained by the main mine pressure monitoring technology;

[0024] The fusion module is used to accumulate the stress data corresponding to the main mine pressure monitoring technology and the difference before and after the fusion corresponding to all mine pressure monitoring technologies to obtain the fused data corresponding to each overlapping point.

[0025] In the third aspect, a mine pressure intelligent monitoring system based on multi-source heterogeneous data fusion in coal mines is provided, including: a data acquisition module, a data preprocessing module, a data transmission module, a data fusion module, and a data display module;

[0026] A data acquisition module is used to collect the mine pressure monitoring data of multiple overlapping points in the target area using multiple mine pressure monitoring technologies; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points;

[0027] The data preprocessing module is used to perform preprocessing operations on the collected mine pressure monitoring data. The preprocessing operations include smoothing, interpolation, denoising and cleaning;

[0028] The data transmission module is used to transmit the mine pressure monitoring data to the data fusion module in real time;

[0029] The data fusion module is used to implement the above-mentioned intelligent mine pressure monitoring method based on multi-source heterogeneous fusion in coal mines, and obtain the fused data corresponding to each overlapping point;

[0030] The data display module is used to visualize the fused data corresponding to each overlapping point.

[0031] In one embodiment, the system further includes an early warning management module for issuing an early warning when the monitoring results do not meet the set conditions.

[0032] Compared with the prior art, this application has the following beneficial effects:

[0033] The intelligent mine pressure monitoring method based on the fusion of multi-source heterogeneous data in coal mines in this application can realize accurate analysis of the manifestation law of mine pressure on the working face; it plays a role in promoting the development of intelligent collection and analysis, perception, and intelligent early warning of big data in mine safety monitoring systems. The use of big data analysis methods solves the defects of traditional manual and semi-manual methods in the face of huge amounts of data, conducts regional analysis and screening of mine pressure data, and realizes accurate mine pressure analysis to meet the needs of guiding on-site production practice. Constructing an intelligent mine pressure monitoring system based on massive mine pressure data facilitates the unified data management of mines, which is of practical significance for improving the intelligent construction and scientific management level of mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present application may be better understood by referring to the following description given in conjunction with the accompanying drawings, which together with the following detailed description are included in this specification and form a part of this specification. In the drawings:

[0035] Figure 1 A flowchart of a method for intelligent monitoring of mine pressure based on multi-source heterogeneous data fusion in a coal mine according to an embodiment of the present application is shown;

[0036] Figure 2 A three-dimensional visualization model of working face mine pressure monitoring is shown. DETAILED DESCRIPTION

[0037] The exemplary embodiments of the present application will be described below in conjunction with the accompanying drawings. For the sake of clarity and conciseness, not all features of the actual embodiments are described in the specification. However, it should be understood that many implementation-specific decisions can be made in the process of developing any such actual embodiments in order to achieve the specific goals of the developer, and these decisions may vary from embodiment to embodiment.

[0038] It is also necessary to explain here that, in order to avoid obscuring the present application due to unnecessary details, only the device structure closely related to the scheme according to the present application is shown in the drawings, while other details that are not closely related to the present application are omitted.

[0039] It should be understood that the present application is not limited to the described implementation forms due to the following description with reference to the accompanying drawings. In this article, where feasible, the embodiments can be combined with each other, features between different embodiments can be replaced or borrowed, and one or more features can be omitted in one embodiment.

[0040] The present application provides a method for intelligent monitoring of mine pressure based on multi-source heterogeneous data fusion in coal mines. Figure 1A flowchart of a method for intelligent monitoring of mine pressure based on multi-source heterogeneous fusion in coal mines according to an embodiment of the present application is shown. Figure 1 , methods include:

[0041] Step S1, obtaining the mine pressure monitoring data of multiple overlapping points in the target area within the same time period; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points.

[0042] Here, the overlapped points refer to the locations where multiple mine pressure monitoring devices are deployed. The mine pressure monitoring data obtained by multiple mine pressure monitoring technologies include support working resistance, roof separation, drilling stress, anchor axial force, and microseismic. For example, if there are N overlapped points and M mine pressure detection technologies, each mine pressure monitoring technology corresponds to n measurement points.

[0043] Step S2, for each mine pressure monitoring technology at each overlapping point, determine the difference before and after fusion based on the multifaceted function.

[0044] Specifically, construct the function of the difference before and after fusion:

[0045]

[0046] Among them, ΔS is the difference before and after fusion, a j is the polyhedral function coefficient corresponding to the jth measuring point, (x, y) is the position coordinate of any coincident point, (x k ,y k ) are the position coordinates of the core measuring point.

[0047] Based on the function of the difference before and after fusion, the following formula is used to calculate the difference before and after fusion corresponding to each mine pressure monitoring technology at each overlapping point:

[0048]

[0049] Among them, ΔS im represents the difference before and after fusion of the mth type of mine pressure monitoring technology at the i-th coincidence point, a jm represents the polyhedral function coefficient corresponding to the jth measuring point of the mth type of mine pressure monitoring technology, n is the number of measuring points, (x i ,y i ) is the position coordinate of the i-th coincident point, (x k ,y k ) is the position coordinate of the core measuring point among the n measuring points of the m-th type of mine pressure monitoring technology. For example, the measuring point in the middle of the n measuring points can be used as the core measuring point;

[0050] The multifaceted function coefficients satisfy the following formula:

[0051] a i =(Q T Q) -1 Q T S i

[0052]

[0053] Among them, a i is the multifaceted function coefficient matrix of the i-th coincident point, a jm for a i The element in the jth row and mth column, M is the number of mine pressure monitoring technologies; Q is the intermediate matrix, Q im is the element in the i-th row and m-th column of Q, (x i ,y i ) is the position coordinate of the i-th coincident point, (x k ,y k ) is the position coordinate of the core measuring point among the n measuring points of the m-th type of mine pressure monitoring technology; S i is the difference vector before and after the fusion of the i-th coincident point, ΔS im For S i The mth element in .

[0054] Step S3, determining a main mine pressure monitoring technology among multiple mine pressure monitoring technologies, and determining stress data corresponding to the main mine pressure monitoring technology based on data of multiple measuring points acquired by the main mine pressure monitoring technology.

[0055] Here, the main mine pressure monitoring technology is determined based on actual experience, or is manually determined based on the actual monitoring process. The stress data corresponding to the main mine pressure monitoring technology can be the average value of data from multiple measuring points.

[0056] Step S4, the stress data corresponding to the main mine pressure monitoring technology and the difference before and after fusion corresponding to all mine pressure monitoring technologies are accumulated to obtain fused data corresponding to each overlapping point.

[0057] Here, according to step S2, the difference before and after fusion corresponding to each mine pressure detection technology can be obtained, and the stress data corresponding to the main mine pressure monitoring technology and the difference before and after fusion corresponding to all mine pressure monitoring technologies are accumulated to obtain the fused data corresponding to each overlapping point.

[0058] Furthermore, after obtaining the mine pressure monitoring data obtained by a plurality of mine pressure monitoring technologies, step S1 in the aforementioned embodiment also includes unifying the time basis and space basis of the mine pressure monitoring data obtained by the plurality of mine pressure monitoring technologies, so that the mine pressure monitoring data are in the same time basis and space basis.

[0059] When fusion processing and analysis are performed on various types of underground coal mine pressure monitoring data, it is necessary to ensure that all data are classified into the same time interval. The monitoring cycles of general mine pressure monitoring data such as support working resistance, roof separation, drilling stress, anchor axial force, microseismic, etc. are not uniform, and the time base of various types of monitoring data needs to be unified before data processing. Since the working face advancement process is a one-dimensional time series problem, various types of data can be used as a univariate function of time. The system's embedded algorithm uses interpolation algorithm and polynomial fitting to intercept data in the same time period for analysis, thereby achieving a unified time base.

[0060] In the spatial dimension, the working resistance of the hydraulic support is generally extracted according to the different advancement positions of the working face, which belongs to the one-dimensional coordinates of the coal seam trend; the microseismic monitoring data is located using the x\y\z three-dimensional coordinates; the anchor axial force, drilling stress, roof separation and other data are generally located at the distance from the cut eye in the tunnel or the real-time advancement position of the working face. Therefore, before data analysis, it is necessary to perform spatial position registration according to the specific data collection rules of the mine, so that all monitoring data are under the same spatial reference.

[0061] Using the same inventive concept as the method for intelligent monitoring of mine pressure based on multi-source heterogeneous data fusion in coal mines, this embodiment also provides a corresponding intelligent monitoring device for mine pressure based on multi-source heterogeneous data fusion in coal mines, including:

[0062] The data acquisition module is used to acquire the mine pressure monitoring data of multiple overlapping points in the target area within the same time period; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points;

[0063] The difference determination module is used to determine the difference before and after fusion based on the multifaceted function for each mine pressure monitoring technology at each overlapping point;

[0064] A stress data determination module is used to determine the main mine pressure monitoring technology among multiple mine pressure monitoring technologies, and determine the stress data corresponding to the main mine pressure monitoring technology based on the data of multiple measuring points obtained by the main mine pressure monitoring technology;

[0065] The fusion module is used to accumulate the stress data corresponding to the main mine pressure monitoring technology and the difference before and after the fusion corresponding to all mine pressure monitoring technologies to obtain the fused data corresponding to each overlapping point.

[0066] The intelligent mine pressure monitoring device based on multi-source heterogeneous data fusion in coal mines of this embodiment has the same inventive concept as the intelligent mine pressure monitoring method based on multi-source heterogeneous data fusion in coal mines mentioned above. Therefore, the specific implementation method of the device can be seen in the implementation example part of the intelligent mine pressure monitoring method based on multi-source heterogeneous data fusion in coal mines mentioned above, and its technical effect corresponds to the technical effect of the above method, which will not be repeated here.

[0067] The embodiment of the present application also provides a mine pressure intelligent monitoring system based on multi-source heterogeneous data fusion in coal mines, including: a data acquisition module, a data preprocessing module, a data transmission module, a data fusion module, and a data display module.

[0068] The data acquisition module is used to collect the mine pressure monitoring data of multiple overlapping points in the target area using multiple mine pressure monitoring technologies; the mine pressure monitoring data of each overlapping point includes data from multiple mine pressure monitoring technologies, and the data from each mine pressure monitoring technology includes data from multiple measuring points; here, the mine pressure monitoring data obtained by multiple mine pressure monitoring technologies includes support working resistance, roof delamination, drilling stress, anchor axial force, and micro-seismicity.

[0069] The data preprocessing module is used to perform preprocessing operations on the collected mine pressure monitoring data. The preprocessing operations include smoothing, interpolation, denoising and cleaning.

[0070] The data transmission module is used to transmit the mine pressure monitoring data to the data fusion module in real time; here, the data is transmitted in real time through optical fiber and switches.

[0071] The data fusion module is used to implement the intelligent mine pressure monitoring method based on multi-source heterogeneous fusion in coal mines in the aforementioned embodiment, and obtain the fused data corresponding to each overlapping point.

[0072] Here, the data fusion module can also be used for attribute extraction. Attribute extraction is based on different types of data in the data layer. It uses rule extraction, statistical extraction, and graphic extraction methods to extract features and attributes from multi-source heterogeneous data to serve data fusion.

[0073] The data display module is used to visualize the fused data corresponding to each overlapping point.

[0074] The system of this embodiment can collect data such as support working resistance, roof delamination, drilling stress, anchor axial force, microseismicity, etc., and carry out pre-processing such as data smoothing, interpolation, denoising and cleaning. It can realize unified management, addition, retrieval, viewing, modification, etc. of mine pressure big data through graphs, tables and texts, and can be visualized and edited in two-dimensional and three-dimensional spaces. It can perform interactive calibration, verification, inversion and other fusion processing through multiple parameters to improve data interpretation accuracy, enrich data attribute information, and can be directly called for mapping, geometric morphology display, attribute display, etc.

[0075] Figure 2 The three-dimensional visualization model of the working face mine pressure monitoring is shown. The three-dimensional visualization model of the coal mining working face is established according to the real geological data. The main modeling elements include goaf gangue, coal seam, hydraulic support, transport chute, return air chute, and the mine pressure display parameters such as the support working resistance thermal diagram and working resistance curve diagram are displayed.

[0076] Furthermore, the system also includes an early warning management module, which is used to issue an early warning when the monitoring result does not meet the set conditions. The set conditions here can be, for example, a threshold range set according to actual monitoring.

[0077] In summary, this application has the following technical effects:

[0078] The intelligent mine pressure monitoring method based on the fusion of multi-source heterogeneous data in coal mines in this application can realize accurate analysis of the manifestation law of mine pressure on the working face; it plays a role in promoting the development of intelligent collection and analysis, perception, and intelligent early warning of big data in mine safety monitoring systems. The use of big data analysis methods solves the defects of traditional manual and semi-manual methods in the face of huge amounts of data, conducts regional analysis and screening of mine pressure data, and realizes accurate mine pressure analysis to meet the needs of guiding on-site production practice. Constructing an intelligent mine pressure monitoring system based on massive mine pressure data facilitates the unified data management of mines, which is of practical significance for improving the intelligent construction and scientific management level of mines.

[0079] The above are only various implementations of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for intelligent monitoring of mine pressure based on multi-source heterogeneous data fusion in coal mines, characterized in that: include: Acquire the mine pressure monitoring data of multiple overlapping points in the target area within the same time period; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points; For each mining pressure monitoring technology at each overlapping point, the difference before and after fusion is determined based on the multifaceted function; Determining a main mine pressure monitoring technology among the multiple mine pressure monitoring technologies, and determining stress data corresponding to the main mine pressure monitoring technology based on data of multiple measuring points acquired by the main mine pressure monitoring technology; The stress data corresponding to the main mine pressure monitoring technology and the difference before and after the fusion corresponding to all mine pressure monitoring technologies are accumulated to obtain the fused data corresponding to each overlapping point.

2. The method according to claim 1, characterized in that in, For each mining pressure monitoring technology at each overlapping point, the difference before and after fusion is determined based on the multifaceted function, using the following formula: Among them, ΔS im represents the difference before and after fusion of the mth type of mine pressure monitoring technology at the i-th coincidence point, a jm represents the polyhedral function coefficient corresponding to the jth measuring point of the mth type of mine pressure monitoring technology, n is the number of measuring points, (x i ,y i ) is the position coordinate of the i-th coincident point, (x k ,y k ) is the position coordinate of the core measuring point among the n measuring points of the m-th type of mine pressure monitoring technology; The polyhedral function coefficients satisfy the following formula: a i =(Q T Q) -1 Q T S i Among them, a i is the multifaceted function coefficient matrix of the i-th coincident point, a jm for a i The element in the jth row and mth column, M is the number of mine pressure monitoring technologies; Q is the intermediate matrix, Q im is the element in the i-th row and m-th column of Q, (x i ,y i ) is the position coordinate of the i-th coincident point, (x k ,y k ) is the position coordinate of the core measuring point among the n measuring points of the m-th type of mine pressure monitoring technology; S i is the difference vector before and after the fusion of the i-th coincident point, ΔS im For S i The mth element in .

3. The method according to claim 1, characterized in that The mine pressure monitoring data obtained by the various mine pressure monitoring technologies include support working resistance, roof delamination, drilling stress, anchor axial force, and microseismicity.

4. The method according to claim 1, characterized in that The method further comprises: The time base and space base of the mine pressure monitoring data obtained by various mine pressure monitoring technologies are unified so that the mine pressure monitoring data are in the same time base and space base.

5. An intelligent mine pressure monitoring device based on multi-source heterogeneous data fusion in coal mines, characterized in that: include: A data acquisition module is used to acquire the mine pressure monitoring data of multiple overlapping points in the target area within the same time period; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points; The difference determination module is used to determine the difference before and after fusion based on the multifaceted function for each mine pressure monitoring technology at each overlapping point; A stress data determination module, used to determine a main mine pressure monitoring technology among the multiple mine pressure monitoring technologies, and determine stress data corresponding to the main mine pressure monitoring technology based on data of multiple measuring points acquired by the main mine pressure monitoring technology; The fusion module is used to accumulate the stress data corresponding to the main mine pressure monitoring technology and the difference before and after the fusion corresponding to all mine pressure monitoring technologies to obtain the fused data corresponding to each overlapping point.

6. An intelligent mine pressure monitoring system based on multi-source heterogeneous data fusion in coal mines, characterized in that: include: Data acquisition module, data preprocessing module, data transmission module, data fusion module, data display module; The data acquisition module is used to collect the mine pressure monitoring data of multiple overlapping points in the target area using multiple mine pressure monitoring technologies; the mine pressure monitoring data of each overlapping point includes data of multiple mine pressure monitoring technologies, and the data of each mine pressure monitoring technology includes data of multiple measuring points; The data preprocessing module is used to perform preprocessing operations on the collected mine pressure monitoring data, and the preprocessing operations include smoothing, interpolation, denoising and cleaning; The data transmission module is used to transmit the mine pressure monitoring data to the data fusion module in real time; The data fusion module is used to implement the intelligent mine pressure monitoring method based on multi-source heterogeneous fusion in coal mines as described in any one of claims 1 to 4, and obtain the fused data corresponding to each coincident point; The data display module is used to visualize the fused data corresponding to each coincident point.

7. The system according to claim 6, characterized in that The system also includes an early warning management module, which is used to issue an early warning when the monitoring results do not meet the set conditions.

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