Method and apparatus for determining abnormal trend in supporting of support of fully mechanized mining face

Abstract

A method for determining an abnormal trend in the supporting of a support of a fully mechanized mining face. The method comprises: acquiring first pressure monitoring data of all hydraulic supports at an initial stage of a stoping process of a fully mechanized mining face, and second pressure monitoring data of all the hydraulic supports during a routine stoping process of the fully mechanized mining face; determining first working cycle pressure data of each hydraulic support at the initial stage of the stoping process, and second working cycle pressure data of each hydraulic support during the routine stoping process; determining reference similarity and real-time similarity of each hydraulic support; and determining an abnormal state of supporting pressure of each hydraulic support.

Description

A method and device for judging abnormal trend of support support in fully mechanized mining working face

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application is based on the Chinese patent application with application number 202410109141.0 and application date of January 25, 2024, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby introduced into this application as a reference. Technical Field

[0003] The present application relates to the technical field of intelligent coal mining monitoring, and in particular to a method and device for judging abnormal trends in support of a fully mechanized mining working face. Background Art

[0004] Hydraulic supports are in direct contact with the overlying roof of the fully mechanized mining face, bearing the immense mining pressure brought on by rock strata movement. This results in periodic variations in their working resistance, which, to a certain extent, reflects the fracture characteristics of the overlying rock strata. Therefore, on-site operators primarily monitor the support status of the hydraulic support group throughout the mining process by recording the working resistance of the hydraulic supports, thereby ensuring the stability of the surrounding rock during mining.

[0005] By analyzing the changes in the working resistance of hydraulic supports, the support effect of hydraulic supports can be judged. This is an effective means to achieve early warning of periodic roof pressure in fully mechanized mining working faces, and plays an important role in dynamically improving the adaptability of supports and optimizing the quality of surrounding rock support. Existing monitoring and analysis technologies for the support status and support quality of hydraulic supports mainly extract, count, and analyze the initial support force and end-of-cycle resistance of hydraulic supports, or integrate data such as working resistance and support posture for comprehensive judgment. However, the above studies mainly focus on the static characteristics of hydraulic supports, and there is little analysis of the dynamic changes in the working resistance of hydraulic supports. There is a problem that a large amount of monitoring data of the intermediate process of hydraulic support load bearing is ignored.

[0006] It should be noted that the above introduction to the technical background is merely intended to provide a clear and complete description of the technical solutions of this application and facilitate understanding by those skilled in the art. Simply because these solutions are described in the background technology section of this application, it should not be assumed that the above technical solutions are well known to those skilled in the art.

[0007] Summary of the Invention

[0008] The embodiments of the present application provide a method and device for judging abnormal trends in support of a fully mechanized mining face.

[0009] The first embodiment of the present application proposes a method for judging abnormal trend of support support in a fully mechanized mining working face, comprising:

[0010] Obtain the first pressure monitoring data of all hydraulic supports in the early stage of the fully mechanized mining face; obtain the second pressure monitoring data of all hydraulic supports in the daily mining process of the fully mechanized mining face;

[0011] Determine the first working cycle pressure data of each hydraulic support in the initial stage of the mining process based on the first pressure monitoring data; determine the second working cycle pressure data of each hydraulic support in the daily mining process based on the second pressure monitoring data;

[0012] Determine the reference similarity of each hydraulic support according to the first working cycle pressure data; determine the real-time similarity of each hydraulic support according to the comparison operation between the first working cycle pressure data and the second working cycle pressure data;

[0013] Based on the comparison operation between the reference similarity and the real-time similarity, the abnormal state of the support pressure of the hydraulic support is judged.

[0014] The second embodiment of the present application proposes a device for judging abnormal trend of support support in a fully mechanized mining working face, comprising:

[0015] The first acquisition module is used to obtain the first pressure monitoring data of all hydraulic supports in the early stage of the mining process of the fully-mechanized mining face, and obtain the second pressure monitoring data of all hydraulic supports in the daily mining process of the fully-mechanized mining face;

[0016] The second acquisition module is used to determine the first cycle pressure data of each hydraulic support in the initial stage of the mining process based on the first pressure monitoring data; and to determine the second cycle pressure data of each hydraulic support in the daily mining process based on the second pressure monitoring data;

[0017] The third acquisition module is used to determine the reference similarity of each hydraulic support according to the first working cycle pressure data; and determine the real-time similarity of each hydraulic support according to the comparison operation between the first working cycle pressure data and the second working cycle pressure data;

[0018] The fourth acquisition module is used to judge the abnormal state of the support pressure of the hydraulic support based on the comparison operation of the reference similarity and the real-time similarity.

[0019] The third aspect embodiment of the present application proposes an electronic device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the method for judging abnormal trends in support of a comprehensive mining working face proposed in the first aspect embodiment of the present application.

[0020] The fourth aspect embodiment of the present application proposes a non-temporary computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor of an electronic device, enables the electronic device to execute the method proposed in the first aspect embodiment of the present application.

[0021] The fifth aspect embodiment of the present application proposes a computer program product, including a computer program, which implements the method proposed in the first aspect embodiment of the present application when executed by a processor in a communication device.

[0022] According to the embodiments of the present application, the static reference similarity of the hydraulic support is determined by the first pressure monitoring data, and the dynamic real-time similarity of the hydraulic support is determined by the second pressure monitoring data. Combined with the comparison results of the static characteristics and the dynamic characteristics, the efficiency of judging the abnormal trend of the hydraulic support is greatly improved, and an advance warning is made for the periodic pressure on the roof of the comprehensive mining working face in the first time, further improving the safety of coal mining.

[0023] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] FIG1 is a flow chart of a method for determining abnormal trend of support support in a fully mechanized mining working face provided by an embodiment of the present application;

[0026] FIG2 is a flow chart of another method for determining abnormal trend of support support in a fully mechanized mining face provided by an embodiment of the present application;

[0027] FIG3 is a schematic structural diagram of a device for judging abnormal trend of support support in a fully mechanized mining working face provided by an embodiment of the present application;

[0028] FIG4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;

[0029] FIG5 is a schematic structural diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numbers in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0031] The terms used in the embodiments of this application are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of this application. The singular forms "a" and "the" used in the embodiments of this application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0032] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at the time of" or "when" or "in response to a determination."

[0033] The embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be understood as limiting the present application.

[0034] It should be noted that the method for judging the abnormal trend of support for the comprehensive mining working face provided in any embodiment of the present application can be executed alone, or combined with possible implementation methods in other embodiments, and can also be combined with any technical solution in the relevant technology.

[0035] The following describes the method and device for judging abnormal trend of support for a fully mechanized mining working face with reference to the accompanying drawings in an embodiment of the present application.

[0036] FIG1 is a flow chart of a method for determining abnormal trend of support support in a fully mechanized mining face provided by an embodiment of the present application. As shown in FIG1 , the method includes but is not limited to the following steps:

[0037] S101, obtaining the first pressure monitoring data of all hydraulic supports in the initial stage of the mining process of the fully mechanized mining face; obtaining the second pressure monitoring data of all hydraulic supports in the daily mining process of the fully mechanized mining face.

[0038] It should be noted that the full name of the fully mechanized mining face is the fully mechanized mining face. It generally has equipment such as shearers, hydraulic supports, scraper conveyors, transfer machines, crushers, and belt conveyors. The operating process of a fully mechanized mining face is generally divided into three stages: preparation, mining, and support. Preparation includes cleaning the working face and installing support equipment. Mining is the primary task of the fully mechanized mining face and includes starting the shearer and mining coal. Support work is to protect the stability and safety of the fully mechanized mining face and mainly involves installing and adjusting supports. There are two main mining methods for fully mechanized mining faces: fully mechanized mining and fully mechanized caving. Fully mechanized mining refers to the direct mining method using a shearer on the fully mechanized mining face and is suitable for areas with thick coal seams and good coal quality. Fully mechanized caving refers to the method of using a tunneling face on the fully mechanized mining face, with tunneling followed by coal mining, and is suitable for areas with thin coal seams or poor coal quality.

[0039] The initial stage of the mining process can be determined by the planned entire advancement length of the working face, and the first 10% of the planned advancement length can be selected as the initial stage of the mining process. The first pressure monitoring data of all hydraulic supports obtained at the initial stage of the mining process can be used as static characteristic data. This is because the geological structure of the coal seam is relatively stable at the initial stage of the mining process. As mining progresses, the geological structure of the coal seam changes, causing stress changes in the stratum. At a specific stage in the early stage of the mining process, the ground stress of the coal seam can be equivalently regarded as a critical state. During this process, the pressure data of the hydraulic support is used as a reference template to provide a reference for subsequent mining of the fully mechanized mining face to determine whether there is an abnormal trend in the support support.

[0040] The daily mining process is adjacent to the initial stage of the mining process and is located in the latter part of the entire advancement length of the working face. The second pressure monitoring data of all hydraulic supports obtained during the daily mining process can be used as dynamic characteristic data. As mining progresses, the geological structure of the coal seam changes further, and the risk of fracture of the overlying rock strata continues to increase. By comparing the pressure data of the hydraulic supports during the daily mining process with the pressure data at the initial stage of the mining process, it is possible to make a judgment on the abnormal trend of the real-time pressure of the working cycle of the hydraulic supports.

[0041] S102, determining the first working cycle pressure data of each hydraulic support in the initial stage of the mining process based on the first pressure monitoring data; determining the second working cycle pressure data of each hydraulic support in the daily mining process based on the second pressure monitoring data.

[0042] It should be noted that the monitoring and analysis of the support status and support quality of hydraulic supports mainly involves the extraction, statistics and analysis of the initial support force and end-of-cycle resistance of the hydraulic supports, or the integration of data such as working resistance and hydraulic support posture for comprehensive judgment. During hydraulic support support, the active column of the support rises to support the overlying rock layer, and the column lifting tool is used to enable the support to generate active support force on the overlying rock layer. This active support force is the initial support force. The initial support force mainly prevents the early sinking of the roof of the overlying rock layer, prevents the roof from delaminating, improves the early stiffness and overall stiffness of the support system, and increases the support resistance during the pillar support process. A larger initial support force can enable the hydraulic support to reach the working resistance faster, reduce the amount of roof sinking, and prevent the roof from delaminating and breaking at an early stage. The initial support force is one of the main parameters of the hydraulic support. The initial support force is also a component of the support capacity of the support and plays an important role in enhancing the support effect of the support.

[0043] The end-of-cycle resistance refers to the working resistance of the last support at the moment of support migration after the mechanical equipment of the coal mining working face has worked for a cycle. In one cycle, since the support works as the pressure of the working face roof continues to increase, the end-of-cycle resistance is generally the maximum working resistance in the cycle. As the coal mining working face advances forward, the roof pressure increases, which is reflected in the hydraulic support as the value of the support working resistance changes continuously with the time of working face advancement. In many cases, the end-of-cycle resistance may not be able to represent the changes in roof pressure.

[0044] By extracting the initial support force and the resistance at the end of the cycle, the working cycle of each hydraulic support in the initial stage of the mining process and the daily mining process is determined. Among them, the hydraulic support includes four actions in one working cycle: lowering the column, moving the frame, raising the column, and pushing the slide. As the working face moves forward, the support is controlled in an orderly manner to continuously complete the above cycles to ensure the safety of the working face support. According to the working cycle, the pressure data of all time domains of each hydraulic support from the time node of the initial support force data to the time point of the resistance at the end of the cycle are extracted. The pressure data corresponding to the initial stage of the mining process is the first working cycle pressure data, and the pressure data corresponding to the daily mining process is the second working cycle pressure data. The method of extracting data includes a feature recognition algorithm. The specific operation of the feature recognition algorithm will not be repeated here.

[0045] Based on the first working cycle pressure data, the first working cycle pressure curves of different hydraulic supports in the initial stage of the mining process are formed; based on the second working cycle pressure data, the second working cycle pressure curves of different hydraulic supports in the daily mining process are formed.

[0046] S103, determining a reference similarity of each hydraulic support according to the first working cycle pressure data; and determining a real-time similarity of each hydraulic support according to a comparison operation between the first working cycle pressure data and the second working cycle pressure data.

[0047] It should be noted that similarity, also known as similarity measure, is a comprehensive measure that assesses the degree of similarity between two objects. The closer two objects are, the greater their similarity measure, while the farther they are, the smaller their similarity measure. There are many different similarity measures, and the choice is generally based on the specific problem. Commonly used similarity measures include the correlation coefficient (which measures the proximity between variables) and the similarity coefficient (which measures the proximity between samples). If the samples provide qualitative data, the proximity between samples can be measured using the sample matching coefficient or consistency.

[0048] For the hydraulic supports of the fully mechanized mining working face, if the rock formation corresponding to one of the supports has stress anomalies, such as fracture, its working cycle pressure data (including the first working cycle pressure data and the second working cycle pressure data) will be abnormal, then the similarity measure between the working cycle pressure curve of the problem support and the working cycle pressure curves of other supports will be smaller; if the rock formations corresponding to all hydraulic supports have no risk of stress anomalies, then the similarity measure between the working cycle pressure curves of the supports will be greater.

[0049] S104: Based on the comparison operation between the reference similarity and the real-time similarity, the abnormal state of the support pressure of the hydraulic support is judged.

[0050] It should be noted that similarity metric analysis is used to analyze the trend of stress anomalies in the rock formation corresponding to the hydraulic support and to determine the abnormal state of the hydraulic support's support pressure. If the real-time similarity is greater than or equal to the reference similarity, the hydraulic support's support pressure is normal. If the real-time similarity is less than the reference similarity, the hydraulic support's support pressure is abnormal, requiring further analysis of the second working cycle pressure data and maintenance of the hydraulic support.

[0051] In summary, the static reference similarity of the hydraulic support is determined by the first pressure monitoring data, and the dynamic real-time similarity of the hydraulic support is determined by the second pressure monitoring data. Combined with the comparison results of static and dynamic characteristics, the efficiency of judging abnormal trends of hydraulic support support is greatly improved, and advance warning of periodic roof pressure of the fully mechanized mining face is given in the first time, further improving the safety of coal mining.

[0052] FIG2 is a flow chart of another method for determining abnormal trend of support support in a fully mechanized mining face provided by an embodiment of the present application. As shown in FIG2 , the method includes but is not limited to the following steps:

[0053] S201, obtaining the first pressure monitoring data of all hydraulic supports in the initial stage of the mining process of the fully mechanized mining face; obtaining the second pressure monitoring data of all hydraulic supports in the daily mining process of the fully mechanized mining face.

[0054] For a detailed description of step S201 , please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0055] S202: Determine a first working cycle of each hydraulic support according to the first pressure monitoring data; and determine a second working cycle of each hydraulic support according to the second pressure monitoring data.

[0056] Alternatively, as an example, the first initial support force and the resistance at the end of the first cycle of each hydraulic support in the initial stage of the mining process are extracted based on the first pressure monitoring data; the first working cycle of each hydraulic support is determined based on the first initial support force and the resistance at the end of the first cycle. The second initial support force and the resistance at the end of the second cycle of each hydraulic support in the daily mining process are extracted based on the second pressure monitoring data; the second working cycle of each hydraulic support is determined based on the second initial support force and the resistance at the end of the second cycle.

[0057] For further details about step S202, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0058] S203, determining the first working cycle pressure data of each hydraulic support in the initial stage of the mining process according to the first working cycle; determining the second working cycle pressure data of each hydraulic support in the daily mining process according to the second working cycle.

[0059] Optionally, as an example, according to the first working cycle, the first working cycle pressure data of each hydraulic support from the first initial support force time node to the first cycle end resistance time node is extracted; according to the second working cycle, the second working cycle pressure data of each hydraulic support from the second initial support force time node to the second cycle end resistance time node is extracted.

[0060] For further details on step S203, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0061] S204, determining the real-time similarity of each hydraulic support according to the first working cycle pressure data; determining the real-time similarity of each hydraulic support according to a comparison operation between the first working cycle pressure data and the second working cycle pressure data.

[0062] Optionally, as an example, a first working cycle pressure curve template library of each hydraulic support is determined based on the first working cycle pressure data.

[0063] The reference similarity of each hydraulic support is determined based on the first working cycle pressure curve template library.

[0064] Further, extracting a plurality of first working cycles according to a first working cycle pressure curve template library;

[0065] According to the plurality of first working cycles, obtaining a first pressure curve corresponding to each first working cycle;

[0066] A reference similarity of each hydraulic support is determined according to the plurality of first pressure curves.

[0067] Furthermore, according to the plurality of first pressure curves, a plurality of first pressure data based on the first pressure curves is obtained;

[0068] determining a first matrix according to the plurality of first pressure data;

[0069] A reference similarity based on the plurality of first pressure curves is determined for each stent based on the warping path through the first matrix.

[0070] It should be noted that, assuming that the first pressure curves of two working cycles of a hydraulic support are L1 and L2, they can be specifically expressed as: L1 = (l 11 ,l 12 ,l 13 ,…,l 1m ), L2=(l 21 ,l 22 ,l 23 ,…,l 2m ), where l 1m and l 2m is the mth pressure value in the first pressure curve of two working cycles of the above hydraulic support.

[0071] Get the best alignment distance between L1 and L2, and then get the similarity:

[0072] In order to align L1 and L2, a first matrix is ​​constructed in which the ijth element is equal to (l 1m -l 2m ) 2 ,(l 1m -l 2m ) 2 Indicates that the element l of L1 1m and the element l of L2 2m Alignment cost. The alignment between L1 and L2 is represented by a warping path W = w1, w2, ..., wk, where the first matrix is ​​continuous and monotonic, starting from the upper left corner and ending at the lower right corner of the first matrix (or starting from the lower left corner and ending at the upper right corner). The optimal alignment relationship is then given by the warping path through the first matrix that minimizes the total cost of the alignment points. The corresponding minimum total cost is called the optimal alignment distance.

[0073] Find a path from the upper left corner to the lower right corner of the first matrix so that the sum of the elements of the path is minimized, where the current path length = the path length of the previous step + the size of the current element. If an element on the path is (i, j), the previous element of the element can only be one of the following three situations:

[0074] a) The adjacent element on the left (i, j-1)

[0075] b) The adjacent element above (i-1, j)

[0076] c) The upper left adjacent element (i-1, j-1)

[0077] The shortest path length from the upper left corner (1,1) of the first matrix to any point (i,j) is L min (i,j), we can use a recursive algorithm to find the shortest path length: L min (1,1)=(1,1) L min (i,j)=min{L min (i,j-1),L min (i-1,j),L min (i-1,j-1)}+(i,j)

[0078] The calculated L min (i, j) is the similarity of the first pressure curve of each hydraulic support.

[0079] The similarity of the first pressure curves of multiple working cycles of a hydraulic support can be calculated, and the average value P is obtained by averaging. The average value P is the reference similarity of each support based on multiple first pressure curves. It can be seen that multiple Ps can be obtained, and the number of Ps is determined by the number of hydraulic supports.

[0080] The real-time similarity of each hydraulic support is determined based on the comparison operation of the first working cycle pressure data and the second working cycle pressure data.

[0081] Optionally, extracting a plurality of second working cycles based on the second working cycle pressure data;

[0082] According to the plurality of second working cycles, obtaining a second pressure curve corresponding to each second working cycle;

[0083] According to the comparison operation between the second pressure curve and the first working cycle pressure data, determining whether the second working cycle pressure data is normal;

[0084] The real-time similarity of each hydraulic support is determined based on the normal second working cycle pressure data.

[0085] Further, a second matrix is ​​determined based on normal second working cycle pressure data;

[0086] A reference similarity based on a plurality of second working cycle pressure data is determined for each bracket based on the warping path through the second matrix.

[0087] It should be noted that, assuming one of the first working cycle pressure data L of a hydraulic support and one of the second pressure curves C of the hydraulic support, L can be expressed as: L = (l1, l2, l3, ..., l m )

[0088] C can be expressed as: C=(c1,c2,c3,…,c n )

[0089] Get the best alignment distance between L and C, and then get the similarity:

[0090] In order to align L and C, a second matrix is ​​constructed, the ijth element of which is equal to (l m -c n ) 2 , which means that the element l of L m and the element c of C n Alignment cost. The alignment between L and C is represented by a warping path V = v1, v2, ···, vk. This second matrix is ​​continuous and monotonic. The optimal alignment relationship is given by a warping path passing through the second matrix that minimizes the total cost of the alignment points. The corresponding minimum total cost is called the optimal alignment distance.

[0091] According to the calculation logic of the reference similarity, the similarity T between L and C is determined, and the similarity T represents the real-time similarity of the hydraulic support.

[0092] S205 , based on the comparison operation between the reference similarity and the real-time similarity, the abnormal state of the support pressure of the hydraulic support is judged.

[0093] It should be noted that if the real-time similarity is greater than or equal to the reference similarity, the support pressure of the hydraulic support is normal; if the real-time similarity is less than the reference similarity, the support pressure of the hydraulic support is abnormal, and further second working cycle pressure data analysis and hydraulic support maintenance are required.

[0094] The static reference similarity of the hydraulic support is determined by the first pressure monitoring data, and the dynamic real-time similarity of the hydraulic support is determined by the second pressure monitoring data. Combined with the comparison results of static and dynamic characteristics, the efficiency of judging abnormal trends of hydraulic support is greatly improved, and advance warning of periodic roof pressure of the fully mechanized mining face is given in the first time, further improving the safety of coal mining.

[0095] FIG3 is a schematic diagram of the structure of a device for judging abnormal trend of support support of a fully-mechanized mining working face provided by an embodiment of the present application. As shown in FIG3 , the device 30 for judging abnormal trend of support support of a fully-mechanized mining working face includes:

[0096] The first acquisition module 301 is used to obtain the first pressure monitoring data of all hydraulic supports in the initial stage of the mining process of the fully mechanized mining face, and to obtain the second pressure monitoring data of all hydraulic supports in the daily mining process of the fully mechanized mining face.

[0097] The second acquisition module 302 is used to determine the first working cycle pressure data of each hydraulic support in the initial stage of the mining process based on the first pressure monitoring data; and to determine the second working cycle pressure data of each hydraulic support in the daily mining process based on the second pressure monitoring data.

[0098] Optionally, as an example, the second obtaining module 302 is further configured to:

[0099] Extracting the first initial support force and the first end-of-cycle resistance of each hydraulic support in the initial stage of the mining process based on the first pressure monitoring data;

[0100] Determine the first working cycle of each hydraulic support according to the first initial supporting force and the resistance at the end of the first cycle;

[0101] According to the first working cycle, the first working cycle pressure data of each hydraulic support from the first initial support force time node to the first cycle end resistance time node is extracted.

[0102] According to the second pressure monitoring data, the second initial support force and the second end-of-cycle resistance of each hydraulic support in the daily mining process are extracted;

[0103] Determine the second working cycle of each hydraulic support according to the second initial supporting force and the resistance at the end of the second cycle;

[0104] According to the second working cycle, the second working cycle pressure data of each hydraulic support from the second initial support force time node to the second cycle end resistance time node is extracted.

[0105] The third acquisition module 303 is used to determine the reference similarity of each hydraulic support according to the first working cycle pressure data; and determine the real-time similarity of each hydraulic support according to the comparison operation between the first working cycle pressure data and the second working cycle pressure data.

[0106] Optionally, as an example, the third obtaining module 303 is further configured to:

[0107] Determine a first working cycle pressure curve template library for each hydraulic support according to the first working cycle pressure data;

[0108] The reference similarity of each hydraulic support is determined based on the first working cycle pressure curve template library.

[0109] Further, extracting a plurality of first working cycles according to a first working cycle pressure curve template library;

[0110] According to the plurality of first working cycles, obtaining a first pressure curve corresponding to each first working cycle;

[0111] A reference similarity of each hydraulic support is determined according to the plurality of first pressure curves.

[0112] Furthermore, according to the plurality of first pressure curves, a plurality of first pressure data based on the first pressure curves is obtained;

[0113] determining a first matrix according to the plurality of first pressure data;

[0114] A reference similarity based on the plurality of first pressure curves is determined for each stent based on the warping path through the first matrix.

[0115] The third acquisition module 303 is further configured to:

[0116] extracting a plurality of second working cycles according to the second working cycle pressure data;

[0117] According to the plurality of second working cycles, obtaining a second pressure curve corresponding to each second working cycle;

[0118] According to the comparison operation between the second pressure curve and the first working cycle pressure data, determining whether the second working cycle pressure data is normal;

[0119] The real-time similarity of each hydraulic support is determined based on the normal second working cycle pressure data.

[0120] Further, a second matrix is ​​determined based on normal second working cycle pressure data;

[0121] A reference similarity based on a plurality of second working cycle pressure data is determined for each bracket based on the warping path through the second matrix.

[0122] The fourth acquisition module 304 is configured to determine an abnormal state of the support pressure of the hydraulic support based on a comparison operation between the reference similarity and the real-time similarity.

[0123] Optionally, as an example, the fourth obtaining module 304 is further configured to:

[0124] If the real-time similarity is greater than or equal to the reference similarity, the support pressure of the hydraulic support is normal;

[0125] If the real-time similarity is less than the reference similarity, the support pressure of the hydraulic support is abnormal.

[0126] The static reference similarity of the hydraulic support is determined by the first pressure monitoring data, and the dynamic real-time similarity of the hydraulic support is determined by the second pressure monitoring data. Combined with the comparison results of static and dynamic characteristics, the efficiency of judging abnormal trends of hydraulic support is greatly improved, and advance warning of periodic roof pressure of the fully mechanized mining face is given in the first time, further improving the safety of coal mining.

[0127] Figure 4 is a block diagram of an electronic device according to an exemplary embodiment. The electronic device shown in Figure 4 is only an example and should not limit the functions and scope of use of the embodiments of the present application.

[0128] As shown in Figure 4, electronic device 400 includes a processor 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a memory 406 into a random access memory (RAM) 403. Various programs and data required for the operation of electronic device 400 are also stored in RAM 403. Processor 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to bus 404.

[0129] The following components are connected to the I / O interface 405: a memory 406 including a hard disk, etc.; and a communication part 407 including a network interface card such as a LAN (Local Area Network) card, a modem, etc., which performs communication processing via a network such as the Internet; a drive 408 is also connected to the I / O interface 405 as needed.

[0130] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program carried on a computer-readable medium, and the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network via the communication section 407. When the computer program is executed by the processor 401, the above-mentioned functions defined in the method of the present application are performed.

[0131] In an exemplary embodiment, a storage medium including instructions is further provided, such as a memory including instructions, and the instructions can be executed by the processor 401 of the electronic device 400 to perform the above method. Alternatively, the storage medium can be a non-transitory computer-readable storage medium, such as a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0132] In this application, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. Furthermore, in this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination thereof.

[0133] FIG5 is a block diagram of a structure of an electronic device according to an exemplary embodiment. The electronic device shown in FIG5 is merely an example and should not impose any restrictions on the functions and scope of use of the embodiments of the present application. As shown in FIG5 , the electronic device 500 includes a processor 501 and a memory 502. The memory 502 is used to store program code, and the processor 501 is connected to the memory 502 to read the program code from the memory 502 to implement the method for determining abnormal trend of support support for a fully mechanized mining working face in the above-mentioned embodiment.

[0134] Optionally, the number of processors 501 may be one or more.

[0135] Optionally, the electronic device may further include an interface 503, and the number of the interface 503 may be multiple. The interface 503 may be connected to the application program and may receive data from an external device such as a sensor.

[0136] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0137] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0138] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0139] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for judging the abnormal trend of support in a fully-mechanized mining face, including: Obtain the first pressure monitoring data of all hydraulic supports at the initial stage of the mining process in the fully-mechanized mining face; Obtain the second pressure monitoring data of all hydraulic supports during the daily mining process in the fully-mechanized mining face; According to the first pressure monitoring data, determine the first working cycle pressure data of each hydraulic support at the initial stage of the mining process; according to the second pressure monitoring data, determine the second working cycle pressure data of each hydraulic support during the daily mining process; According to the first working cycle pressure data, determine the reference similarity of each hydraulic support; According to the comparison operation of the first working cycle pressure data and the second working cycle pressure data, determine the real-time similarity of each hydraulic support; Based on the comparison operation of the reference similarity and the real-time similarity, judge the abnormal state of the support pressure of the hydraulic support.

2. The method according to claim 1, wherein The step of determining the first working cycle pressure data of each hydraulic support at the initial stage of the mining process according to the first pressure monitoring data includes: According to the first pressure monitoring data, extract the first initial support force and the first end-of-cycle resistance of each hydraulic support in the initial stage of the mining process; According to the first initial support force and the first end-of-cycle resistance, determine the first working cycle of each hydraulic support; According to the first working cycle, extract the first working cycle pressure data of each hydraulic support from the first initial support force time node to the first end-of-cycle resistance time node.

3. The method according to claim 1 or 2, wherein The step of determining the reference similarity of each hydraulic support according to the first working cycle pressure data includes: According to the first working cycle pressure data, determine the first working cycle pressure curve template library of each hydraulic support; According to the first working cycle pressure curve template library, determine the reference similarity of each hydraulic support.

4. The method according to claim 3, wherein, The step of determining the reference similarity of each hydraulic support according to the first working cycle pressure curve template library includes: According to the first working cycle pressure curve template library, extract multiple first working cycles; According to the multiple first working cycles, obtain the first pressure curve corresponding to each first working cycle; According to the multiple first pressure curves, determine the reference similarity of each hydraulic support.

5. The method according to claim 4, wherein The step of determining the reference similarity of each hydraulic support according to the multiple first pressure curves includes: According to the multiple first pressure curves, obtain multiple first pressure data based on the first pressure curve; According to the multiple first pressure data, determine the first matrix; Based on the warping path passing through the first matrix, determine the reference similarity of each support based on the multiple first pressure curves.

6. The method according to any one of claims 1 to 5, wherein The step of determining the second working cycle pressure data of each hydraulic support during the daily mining process according to the second pressure monitoring data includes: According to the second pressure monitoring data, extract the second initial support force and the second end-of-cycle resistance of each hydraulic support during the daily mining process; According to the second initial support force and the second end-of-cycle resistance, determine the second working cycle of each hydraulic support; According to the second working cycle, extract the second working cycle pressure data of each hydraulic support from the second initial support force time node to the second end-of-cycle resistance time node.

7. The method according to any one of claims 1 to 6, wherein The step of determining the real-time similarity of each hydraulic support according to the comparison operation of the first working cycle pressure data and the second working cycle pressure data includes: Extract multiple second working cycles according to the second working cycle pressure data; Obtain the second pressure curve corresponding to each second working cycle according to the multiple second working cycles; Judge whether the second working cycle pressure data is normal according to the comparison operation between the second pressure curve and the first working cycle pressure data; Determine the real-time similarity of each hydraulic support according to the normal second working cycle pressure data.

8. The method according to claim 7, wherein The determining the real-time similarity of each hydraulic support according to the normal second working cycle pressure data includes: Determine the second matrix according to the normal second working cycle pressure data; Determine the reference similarity of each support based on the multiple second working cycle pressure data based on the warping path passing through the second matrix.

9. The method according to any one of claims 1 to 8, wherein The judging the abnormal state of the support pressure of the hydraulic support according to the comparison operation between the reference similarity and the real-time similarity includes: If the real-time similarity is greater than or equal to the reference similarity, the support pressure of the hydraulic support is in a normal condition; If the real-time similarity is less than the reference similarity, the support pressure of the hydraulic support is in an abnormal condition.

10. A device for judging the abnormal trend of the support of a fully-mechanized mining face, comprising: A first acquisition module, configured to acquire the first pressure monitoring data of all hydraulic supports at the initial stage of the fully-mechanized mining face during the mining process, and acquire the second pressure monitoring data of all hydraulic supports during the daily mining process of the fully-mechanized mining face; A second acquisition module, configured to determine the first working cycle pressure data of each hydraulic support at the initial stage of the mining process according to the first pressure monitoring data; and determine the second working cycle pressure data of each hydraulic support during the daily mining process according to the second pressure monitoring data; A third acquisition module, configured to determine the reference similarity of each hydraulic support according to the first working cycle pressure data; Determine the real-time similarity of each hydraulic support according to the comparison operation between the first working cycle pressure data and the second working cycle pressure data; A fourth acquisition module, configured to judge the abnormal state of the support pressure of the hydraulic support based on the comparison operation between the reference similarity and the real-time similarity.

11. An electronic device, comprising: A processor; And A memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the method according to any one of claims 1 to 9.

12. A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor, enable the processor to execute the method according to any one of claims 1 to 9.

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