A method and system for predicting a roof caving period of a coal mining face in a coal mine

Abstract

The application relates to a method and system for predicting a roof weighting period of a coal mining face in a coal mine. The method comprises the following steps: obtaining support resistance data of the face; calculating the time for a coal mining machine to mine one slice of coal and the time difference between two continuous roof weightings according to the support resistance data; counting the number of coal mining slices in the time difference between the two roof weightings according to the time for the coal mining machine to mine one slice of coal; and predicting the roof weighting period according to the number of coal mining slices calculated according to different time differences between the two roof weightings. The technical scheme provided by the application can predict the roof weighting period through the support resistance data itself, does not depend on other data, has higher universality, and can be used in mines with different intelligent degrees. The application can provide protection for the safety production of the coal mine, and achieves the purpose of early warning, disaster prevention and disaster reduction.

Description

Technical Field

[0001] This invention provides a method for predicting the period of roof pressure in coal mining faces, belonging to the field of coal mine safety production data feature identification. Background Technology

[0002] like Figure 1 As shown, during the advancement of a coal mining face, a goaf is created, above which lies the old roof. As the face advances, the exposed span of the old roof gradually increases. When the exposed span reaches a certain length, the old roof, under its own weight and the load of the overlying strata, will break and collapse along the coal face, or even within the coal face itself. This collapse will occur repeatedly as the face advances. If the support strength of the working face is insufficient when the old roof collapses, it may crush the supports, causing a roof fall accident, resulting in casualties and equipment damage. Currently, coal mines use rockburst monitoring systems to monitor roof pressure, but timely and accurate prediction of roof pressure is still not possible. Summary of the Invention

[0003] To overcome the problems existing in related technologies, the present invention provides a method and system for predicting the roof pressure cycle of a coal mining face.

[0004] According to a first aspect of the present invention, a method for predicting the roof pressure cycle of a coal mine working face is provided, comprising:

[0005] Obtain the resistance data of the working face support;

[0006] Calculate the time it takes for the coal mining machine to extract one cut of coal and the time difference between two consecutive pressure applications based on the support resistance data.

[0007] Based on the time it takes to cut one piece of coal, count the number of coal cutting cuts within the time difference of the pressure arrival;

[0008] The pressure cycle is predicted by the number of coal cutting tools calculated based on different pressure time differences.

[0009] Furthermore, the time for the coal mining machine to mine one cut of coal is calculated based on the support resistance data, specifically including:

[0010] Analyze the numerical variation of the resistance of all supports to determine the time it takes for all supports to move once from the head to the tail, which is the time it takes for the coal mining machine to cut one slice of coal.

[0011] Furthermore, the time difference between two consecutive pressure applications is calculated based on the stent resistance data, specifically including:

[0012] Calculate the change in resistance of all supports on the same working face;

[0013] When the number of stents whose stent resistance increases beyond the threshold exceeds a preset number within the same time period, it is considered that pressure is about to arrive, and the time of pressure arrival is recorded.

[0014] Calculate the time difference between two consecutive pressure applications.

[0015] Furthermore, the pressure-relief cycle is predicted based on the number of coal cutting tools calculated according to different pressure-relief time differences, specifically including:

[0016] Calculate the average number of coal cutting blades calculated for different pressure time differences to obtain the average number of coal cutting blades;

[0017] The compression cycle is calculated based on the average number of coal cutting blades.

[0018] According to a second aspect of the present invention, a system for predicting the period of roof pressure in a coal mine working face is provided, comprising:

[0019] The acquisition module is used to acquire the resistance data of the working face support;

[0020] The processing module is used to calculate the time for the coal mining machine to mine one cut of coal and the time difference between two consecutive pressure applications based on the support resistance data.

[0021] The counting module is used to count the number of coal cutting cutters within the pressure time difference based on the time of one coal cutting cut.

[0022] The prediction module is used to predict the pressure cycle based on the number of coal cutting blades calculated according to different pressure time differences.

[0023] Furthermore, the processing module includes a first processing unit;

[0024] The first processing unit is used to analyze the numerical variation law of the resistance of all supports and determine the time it takes for all supports to move once from the end to the end, that is, the time for the coal mining machine to mine one cut of coal.

[0025] Furthermore, the processing module includes a second processing unit;

[0026] The second processing unit is specifically used for:

[0027] Calculate the change in resistance of all supports on the same working face;

[0028] When the number of stents whose stent resistance increases beyond the threshold exceeds a preset number within the same time period, it is considered that pressure is about to arrive, and the time of pressure arrival is recorded.

[0029] Calculate the time difference between two consecutive pressure applications.

[0030] Furthermore, the prediction module specifically includes:

[0031] The first calculation unit is used to calculate the average number of coal cutting blades calculated for different pressure time differences, and obtain the average number of coal cutting blades;

[0032] The second calculation unit is used to calculate the pressure cycle based on the average number of coal cutting blades.

[0033] According to a third aspect of the present invention, a terminal device is provided, comprising:

[0034] Processor; and

[0035] A memory that stores executable code, which, when executed by the processor, causes the processor to perform the method described above.

[0036] According to a fourth aspect of the present invention, a non-transitory machine-readable storage medium is provided, on which executable code is stored, which, when executed by a processor of an electronic device, causes the processor to perform the method described above.

[0037] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0038] Based on historical support resistance data, the pressure cycle is predicted, which guides coal mining enterprises in making contingency plans to achieve the goal of disaster prevention and mitigation. Dispatchers can rationally arrange production work based on the prediction results; fully mechanized mining workers can be more vigilant and reduce the possibility of roof collapse accidents.

[0039] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0040] The above and other objects, features and advantages of the present invention will become more apparent from the more detailed description of exemplary embodiments of the invention in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same components in the exemplary embodiments of the invention.

[0041] Figure 1 This is a diagram illustrating the pressure from the old peak cycle;

[0042] Figure 2 This refers to the arrangement of resistance measuring points on the support frame of the rockburst monitoring system;

[0043] Figure 3 This is a flowchart illustrating a method for predicting the roof pressure cycle of a coal mining face according to an exemplary embodiment of the present invention.

[0044] Figure 4 This is a schematic diagram of coal mining at the working face;

[0045] Figure 5This is a structural block diagram of a system for predicting the period of roof pressure in a coal mine working face, according to an exemplary embodiment of the present invention.

[0046] Figure 6 This is a schematic diagram of the structure of a computing device according to an exemplary embodiment of the present invention. Detailed Implementation

[0047] Preferred embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While preferred embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0048] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular forms “a,” “the,” and “the” used in this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0049] It should be understood that although the terms "first," "second," "third," etc., may be used in this invention to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this invention, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Thus, features defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0050] This invention predicts the period of roof pressure on a coal mining face based on the resistance data of the working face support collected by the rockburst monitoring system.

[0051] Support resistance is one of the important monitoring data in the rockburst monitoring system, used to monitor the resistance value of the hydraulic support. A schematic diagram of the sensor's monitoring point layout is shown below. Figure 2 As shown.

[0052] The collapse of the roof is caused by the exposed length exceeding the bearing limit, resulting in breakage. Therefore, the collapse distance is basically the same each time, and this distance is the periodic pressure step distance. The exposed roof is caused by the goaf of the working face below the roof. Therefore, the advance distance of the coal face between two consecutive pressure operations is calculated, which is the periodic pressure step distance. Since the advance distance of the coal face is only related to the advance speed and the mining time, the calculation formula for the periodic pressure step distance is as follows:

[0053]

[0054] Where L is the pressure cycle step distance, v is the average advance progress of the working face, T is the time difference between two pressure cycles, m is the cutting depth of the coal mining machine drum, t is the average time to mine one cut of coal, and n is the number of coal mining cutters.

[0055] As derived above, m is a constant, therefore L is directly proportional to n. This model predicts the periodic pressure on the working face by calculating the number of coal cutting cutters during two pressure surges. Since the time for each coal cutting cut is different, the time difference between the two pressure surges can be expressed as:

[0056]

[0057] Where T is the time difference between the two pressure applications, t i Let n be the time required to mine the i-th cut of coal, and n be the number of cuts.

[0058] Therefore, by statistically analyzing the time difference between two pressure surges, the pressure surge cycle can be predicted.

[0059] The technical solutions of the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0060] Figure 3 This is a flowchart illustrating a method for predicting the roof pressure cycle of a coal mining face according to an exemplary embodiment of the present invention.

[0061] See Figure 3 The method includes:

[0062] S1. Obtain the resistance data of the working face support;

[0063] S2. Calculate the time required for the coal mining machine to mine one cut of coal and the time difference between two consecutive pressure applications based on the support resistance data:

[0064] Specifically, in this embodiment, the time t for the coal mining machine to mine one cut of coal is... iThis refers to the time it takes for the coal mining machine to move from the head (tail) to the tail (head) of the working face. The hydraulic support relocation process involves: lowering the support, moving the support forward, and raising the support. During the lowering process, the support resistance value decreases until it returns to its original level after the support column is raised. Therefore, this model determines the time it takes for all hydraulic supports to move once from the head to the tail, i.e., the time it takes for the coal mining machine to cut one slice of coal, by analyzing the numerical variation of the resistance values ​​of all supports. A schematic diagram of the working face coal mining is shown below. Figure 4 As shown.

[0065] In this embodiment, the process of determining the time difference T between two consecutive pressure applications is as follows: Calculate the resistance change amplitude of all supports on the same working face. When more than half of the supports show a significant increase in resistance change amplitude within the same time period, it is considered that pressure is about to be applied. Calculate the time difference between the two consecutive pressure applications when the pressure reaches its maximum value; this time difference is considered useful for calculating the pressure application cycle.

[0066] S3. Count the number of coal cuttings within the pressure time difference based on the time of one coal cutting.

[0067] Specifically, the number of coal cutting tools is counted within the pressure time difference T, and the result is t. i The number of cutting tools is the number of cutting tools n.

[0068] S4. Predict the pressure cycle based on the number of coal cutting blades calculated according to different pressure time differences.

[0069] Specifically, in this embodiment, the average number of coal cutting blades n calculated for different pressure arrival time differences is taken as the average number of coal cutting blades, which is used as the number of coal cutting blades for calculating the pressure arrival cycle. By combining the known time of the most recent coal mining operation, the time of the next pressure surge can be determined, thus enabling the prediction of the pressure surge cycle.

[0070] Alternatively, in this embodiment, the average time for mining one cut of coal can also be obtained by calculating the average time of the most recent mining operations. Therefore, the pressure cycle can be determined.

[0071] The method of this invention predicts the pressure cycle by using the support resistance data itself, without relying on other data, making it more versatile and applicable to mines with varying levels of intelligence. The results of this invention can provide a guarantee for safe production in coal mines, achieving the goals of early warning and disaster prevention and mitigation.

[0072] Optionally, in this embodiment, the process of calculating the time for the coal mining machine to mine one cut of coal in step S2 specifically includes:

[0073] S21 analyzes the numerical variation pattern of the resistance of all supports to determine the time it takes for all supports to move once from the head to the tail, which is the time it takes for the coal mining machine to mine one cut of coal.

[0074] Optionally, in this embodiment, the process of calculating the time difference between two consecutive pressure applications in step S2 specifically includes:

[0075] S22. Calculate the change in resistance of all supports on the same working face;

[0076] S23. When the number of stents whose stent resistance increases beyond the threshold exceeds the preset number within the same time period, it is considered that pressure is about to arrive, and the time of arrival of pressure is recorded.

[0077] S24. Calculate the time difference between two consecutive pressure applications.

[0078] Optionally, in this embodiment, step S4 specifically includes:

[0079] S41. Calculate the average number of coal cutting blades calculated for different pressure time differences to obtain the average number of coal cutting blades;

[0080] S42. Calculate the pressing cycle based on the average number of coal cutting blades.

[0081] Figure 5 This is a structural block diagram of a system for predicting the period of roof pressure in a coal mining face, according to an exemplary embodiment of the present invention.

[0082] See Figure 5 The system includes:

[0083] The acquisition module is used to acquire the resistance data of the working face support;

[0084] The processing module is used to calculate the time for the coal mining machine to mine one cut of coal and the time difference between two consecutive pressure applications based on the support resistance data.

[0085] The counting module is used to count the number of coal cutting cutters within the pressure time difference based on the time of one coal cutting cut.

[0086] The prediction module is used to predict the pressure cycle based on the number of coal cutting blades calculated according to different pressure time differences.

[0087] Optionally, in this embodiment, the processing module includes a first processing unit;

[0088] The first processing unit is used to analyze the numerical variation law of the resistance of all supports and determine the time it takes for all supports to move once from the end to the end, that is, the time for the coal mining machine to mine one cut of coal.

[0089] Optionally, in this embodiment, the processing module includes a second processing unit;

[0090] The second processing unit is specifically used for:

[0091] Calculate the change in resistance of all supports on the same working face;

[0092] When the number of stents whose stent resistance increases beyond the threshold exceeds a preset number within the same time period, it is considered that pressure is about to arrive, and the time of pressure arrival is recorded.

[0093] Calculate the time difference between two consecutive pressure applications.

[0094] Optionally, in this embodiment, the prediction module specifically includes:

[0095] The first calculation unit is used to calculate the average number of coal cutting blades calculated for different pressure time differences, and obtain the average number of coal cutting blades;

[0096] The second calculation unit is used to calculate the pressure cycle based on the average number of coal cutting blades.

[0097] Regarding the system in the above embodiments, the specific ways in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated further here.

[0098] Figure 6 This is a schematic diagram of the structure of a computing device according to an exemplary embodiment of the present invention.

[0099] See Figure 6 The computing device 600 includes a memory 610 and a processor 620.

[0100] The processor 620 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0101] Memory 610 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. ROM may store static data or instructions required by the processor 620 or other modules of the computer. Permanent storage devices may be read-write storage devices. Permanent storage devices may be non-volatile storage devices that retain stored instructions and data even when the computer is powered off. In some embodiments, permanent storage devices use mass storage devices (e.g., magnetic or optical disks, flash memory) as permanent storage devices. In other embodiments, permanent storage devices may be removable storage devices (e.g., floppy disks, optical drives). System memory may be a read-write storage device or a volatile read-write storage device, such as dynamic random access memory. System memory may store some or all of the instructions and data required by the processor during operation. Furthermore, memory 610 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, memory 610 may include a removable storage device that is readable and / or writable, such as a laser disc (CD), a read-only digital multifunction optical disc (e.g., DVD-ROM, dual-layer DVD-ROM), a read-only Blu-ray disc, an ultra-high-density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not contain carrier waves or transient electronic signals transmitted wirelessly or via wired connections.

[0102] The memory 610 stores executable code, which, when processed by the processor 620, can cause the processor 620 to execute part or all of the methods described above.

[0103] Furthermore, the method according to the present invention can also be implemented as a computer program or computer program product, which includes computer program code instructions for performing some or all of the steps in the above-described method of the present invention.

[0104] Alternatively, the present invention can also be implemented as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) storing executable code (or computer program, or computer instruction code) that, when executed by a processor of an electronic device (or computing device, server, etc.), causes the processor to perform some or all of the steps of the method described above according to the present invention.

[0105] The present invention has been described in detail above with reference to the accompanying drawings. In the above embodiments, the descriptions of each embodiment have their own emphasis; for parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. Those skilled in the art should also understand that the actions and modules involved in the specification are not necessarily essential to the present invention. Furthermore, it is understood that the steps in the method of the embodiments of the present invention can be adjusted, combined, and deleted according to actual needs, and the modules in the device of the embodiments of the present invention can be combined, divided, and deleted according to actual needs.

[0106] Those skilled in the art will also understand that the various exemplary logic blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein can be implemented as electronic hardware, computer software, or a combination of both.

[0107] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0108] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for predicting the period of roof pressure in a coal mining face, characterized in that, include: Obtain the resistance data of the working face support; Calculate the time it takes for the coal mining machine to mine one cut of coal and the time difference between two consecutive pressure applications based on the support resistance data. Based on the time it takes to cut one piece of coal, count the number of coal cutting cuts within the time difference of the pressure arrival; The prediction of the pressure-receiving cycle based on the number of coal cutting blades calculated for different pressure-receiving time differences specifically includes: the number of coal cutting blades calculated for different pressure-receiving time differences. The average number of coal cutting blades is obtained by taking the average value, which is used as the number of coal cutting blades for calculating the pressure cycle. Based on the known time of the most recent coal mining operation, the next pressure attack time can be determined.

2. The method according to claim 1, characterized in that, The time required for the coal mining machine to extract one cut of coal is calculated based on the support resistance data, specifically including: Analyze the numerical variation of the resistance of all supports to determine the time it takes for all supports to move once from the head to the tail, which is the time it takes for the coal mining machine to cut one slice of coal.

3. The method according to claim 1, characterized in that, The time difference between two consecutive pressure applications is calculated based on the stent resistance data, specifically including: Calculate the change in resistance of all supports on the same working face; When the number of stents whose stent resistance increases beyond the threshold exceeds a preset number within the same time period, it is considered that pressure is about to arrive, and the time of pressure arrival is recorded. Calculate the time difference between two consecutive pressure applications.

4. The method according to claim 1, characterized in that, The coal cutting blade count, calculated based on different pressure arrival time differences, predicts the pressure arrival cycle, specifically including: Calculate the average number of coal cutting blades calculated for different pressure time differences to obtain the average number of coal cutting blades; The compression cycle is calculated based on the average number of coal cutting blades.

5. A system for predicting the period of roof pressure in a coal mine working face, characterized in that, include: The acquisition module is used to acquire the resistance data of the working face support; The processing module is used to calculate the time for the coal mining machine to mine one cut of coal and the time difference between two consecutive pressure applications based on the support resistance data. The counting module is used to count the number of coal cutting cutters within the pressure time difference based on the time of one coal cutting cut. The prediction module is used to predict the pressure-receiving cycle based on the number of coal cutting blades calculated for different pressure-receiving time differences. Specifically, it is used for: calculating the number of coal cutting blades for different pressure-receiving time differences. The average number of coal cutting blades is obtained by taking the average value, which is used as the number of coal cutting blades for calculating the pressure cycle. Based on the known time of the most recent coal mining operation, the next pressure attack time can be determined.

6. The system according to claim 5, characterized in that, The processing module includes a first processing unit; The first processing unit is used to analyze the numerical variation law of the resistance of all supports and determine the time it takes for all supports to move once from the end to the end, that is, the time for the coal mining machine to mine one cut of coal.

7. The system according to claim 5, characterized in that, The processing module includes a second processing unit; The second processing unit is specifically used for: Calculate the change in resistance of all supports on the same working face; When the number of stents whose stent resistance increases beyond the threshold exceeds a preset number within the same time period, it is considered that pressure is about to arrive, and the time of pressure arrival is recorded. Calculate the time difference between two consecutive pressure applications.

8. The system according to claim 5, characterized in that, The prediction module specifically includes: The first calculation unit is used to calculate the average number of coal cutting blades calculated for different pressure time differences, and obtain the average number of coal cutting blades; The second calculation unit is used to calculate the pressure cycle based on the average number of coal cutting blades.

9. A terminal device, characterized in that, include: processor; as well as A memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform the method as described in any one of claims 1-4.

10. A non-transitory machine-readable storage medium having executable code stored thereon, characterized in that, When the executable code is executed by the processor of the electronic device, the processor performs the method as described in any one of claims 1-4.

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