Method and device for measuring static and dynamic load stress flow of coal rock mass, and electronic equipment

Abstract

The invention provides a coal and rock mass static and dynamic load stress flow measurement method and device and electronic equipment. The method comprises the following steps: acquiring coal and rock mass stress flow characteristics and coal and rock mass crustal stress field distribution characteristics of a to-be-measured coal and rock mass; stress flow calculation processing is carried out according to the coal rock mass stress flow characteristics and the coal rock mass crustal stress field distribution characteristics, and a static load stress flow vector and a dynamic load stress flow vector are obtained; performing data calculation processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determining a dynamic load stress streamline according to the outer envelope surface; and determining the static load stress flow of the coal and rock mass according to the static load stress flow vector, and determining the dynamic load stress flow of the coal and rock mass according to the dynamic load stress flow line. According to the embodiment of the invention, after the stress-strain data is measured and obtained through the uniaxial compression test and the similar simulation test, the stress gradient field and the stress flow vector are calculated through the stress flow tensor representation theory, the stress flow characteristics of the coal and rock mass under dynamic and static load stress are revealed, and the static and dynamic load stress flow of the coal and rock mass can be reliably and accurately measured.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a method and device for measuring static and dynamic stress flow of coal and rock masses, and electronic equipment. Background Art

[0002] In recent years, with the continuous upgrading of coal mining technology and equipment, as well as the large-scale development of coal resources in shallow coal seams near the surface and the adjustment of coal resource development strategies, coal mining has gradually shifted to deep mining. In the deep mining environment, the natural stress field of coal rock mass is complex and changeable due to the influence of mining, and the stress change is unclear. There is a lack of refined means that can continuously reflect the relationship between stress and fracture structure in time and space, which has caused troubles in the accurate identification of rock burst and safety warning.

[0003] At present, stress measurement equipment represented by borehole stress gauges and microseismic monitoring can monitor the stress of coal and rock masses. However, the existing coal and rock stress measurement methods have relatively large measurement accuracy errors, and the measurement of borehole stress gauges cannot be continuous in time and space. The microseismic fiber optic sensor technology for capturing rock fracture vibration signals is affected by the calculation model and complex geological conditions, and its reliability and accuracy are limited, making it impossible to accurately describe the temporal and spatial changes of stress.

[0004] Therefore, how to reliably and accurately measure the static and dynamic stress flow of coal and rock masses is a problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a method and device for measuring static and dynamic load stress flow of coal and rock masses, and electronic equipment, the main purpose of which is to solve the problem of how to reliably and accurately measure the static and dynamic load stress flow of coal and rock masses.

[0006] According to a first aspect of the present disclosure, a method for measuring static and dynamic load stress flow of coal and rock mass is provided, which comprises:

[0007] Obtaining the coal-rock mass stress flow characteristics and the coal-rock mass in-situ stress field distribution characteristics of the coal-rock mass to be measured; wherein the coal-rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal-rock mass masonry model, and the coal-rock mass in-situ stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal-rock mass similarity model;

[0008] Perform stress flow calculation processing according to the stress flow characteristics of the coal rock mass and the distribution characteristics of the in-situ stress field of the coal rock mass to obtain the static stress flow vector and the dynamic stress flow vector of the coal rock mass to be measured;

[0009] Performing data calculation and processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determining a dynamic load stress streamline according to the outer envelope surface;

[0010] The static load stress flow of the coal rock mass to be measured is determined according to the static load stress flow vector, and the dynamic load stress flow of the coal rock mass to be measured is determined according to the dynamic load stress streamline.

[0011] Optionally, the step of obtaining the coal-rock mass stress flow characteristics and the coal-rock mass in-situ stress field distribution characteristics of the coal-rock mass to be measured includes:

[0012] The uniaxial loading and unloading test is performed on the preset coal-rock mass masonry model to obtain the stress flow characteristics of the coal-rock mass; wherein the preset coal-rock mass masonry model is a pre-constructed model simulating the structural characteristics of the coal-rock mass to be measured;

[0013] The biaxial loading and unloading test is carried out by using the preset coal-rock mass similarity model to obtain the distribution characteristics of the coal-rock mass in-situ stress field; wherein the preset coal-rock mass similarity model is a pre-constructed model that simulates the material characteristics of the coal-rock mass to be measured.

[0014] Optionally, the stress flow characteristics of the coal rock mass are obtained by performing uniaxial loading and unloading test processing on the preset coal rock mass masonry model, including:

[0015] Acquire first strain data; wherein the first strain data is data obtained by simulating the deadweight stress of the coal rock mass to be measured and simulating the roadway supporting force of the coal rock mass to be measured during the uniaxial loading and unloading test;

[0016] Acquire second strain data; wherein the second strain data is data obtained by simulating the ground stress environment of tunnels with different burial depths in the coal rock mass to be measured during the uniaxial loading and unloading test;

[0017] Performing data calculation processing based on the first strain data to obtain the initial geostress field of the coal rock mass to be measured, and performing data analysis processing based on the initial geostress field of the rock mass to obtain the distribution law of the geostress gradient zone of the coal rock mass to be measured;

[0018] Data analysis and processing are performed based on the second strain data to obtain the rock mass internal stress field change data of the coal rock mass to be measured, and data analysis and processing are performed based on the distribution law of the ground stress gradient zone and the rock mass internal stress field change data to obtain the coal rock mass stress flow characteristics.

[0019] Optionally, the biaxial loading and unloading test is performed by using the preset coal-rock mass similarity model to obtain the distribution characteristics of the coal-rock mass in-situ stress field, including:

[0020] Acquire third strain data; wherein the third strain data is data obtained after applying a load of a preset total load value to the preset coal-rock mass similarity model during the biaxial loading and unloading test;

[0021] Performing data analysis and processing according to the third strain data to obtain a stress evolution law corresponding to the preset coal-rock mass similarity model;

[0022] The stress evolution law is subjected to data calculation and processing by a preset similarity ratio to obtain the distribution characteristics of the coal rock mass in-situ stress field, wherein the preset similarity ratio is the scale between the coal rock mass to be measured and the preset coal rock mass similarity model.

[0023] Optionally, the acquiring the first strain data includes:

[0024] Applying a pressure of a first preset pressure value to the preset coal-rock mass masonry model through a first preset pressure device, and applying a supporting force of a second preset pressure value to the tunnel of the preset coal-rock mass masonry model through a second preset pressure device, to obtain the preset coal-rock mass masonry model after a first strain;

[0025] The data of a preset measuring device in the preset coal-rock mass masonry model after the first strain is read to obtain the first strain data.

[0026] Optionally, the acquiring the second strain data includes:

[0027] Applying pressure to the preset coal-rock masonry model according to a first applied gradient by the first preset pressure device, and applying a supporting force to the roadway of the preset coal-rock masonry model according to a second applied gradient by the second preset pressure device, to obtain the preset coal-rock masonry model after a second strain;

[0028] The data of the preset measuring device in the preset coal-rock mass masonry model after the second strain is read to obtain the second strain data.

[0029] Optionally, the acquiring the third strain data includes:

[0030] By means of the third preset pressure device, a pressure of a preset total load value is applied to the preset coal-rock mass similarity model according to a preset load application method, so as to obtain a strained preset coal-rock mass similarity model; wherein the preset total load value is obtained by data calculation using the preset similarity ratio and the total load value of the coal-rock mass to be measured;

[0031] The data of the preset measuring device in the preset coal-rock mass similarity model after the strain is read to obtain the third strain data.

[0032] Optionally, after determining the static load stress flow of the coal rock mass to be measured according to the static load stress flow vector, and determining the dynamic load stress flow of the coal rock mass to be measured according to the dynamic load stress streamline, the method further includes:

[0033] Acquire first image data of the preset coal-rock mass masonry model during the uniaxial loading and unloading test, and second image data of the preset coal-rock mass similarity model during the biaxial loading and unloading test;

[0034] Data analysis and processing are performed based on the first image data, the second image data, the static load stress flow of the coal rock mass, and the dynamic load stress flow of the coal rock mass to obtain the correlation between the strain of the coal rock mass to be measured and the static load stress flow of the coal rock mass and / or the dynamic load stress flow of the coal rock mass.

[0035] According to a second aspect of the present disclosure, a device for measuring static and dynamic stress flow of coal and rock mass is provided, comprising:

[0036] The first acquisition unit is used to acquire the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics of the coal rock mass to be measured; wherein the coal rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal rock mass masonry model, and the coal rock mass ground stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal rock mass similarity model;

[0037] A calculation unit, used for performing stress flow calculation processing according to the stress flow characteristics of the coal rock mass and the distribution characteristics of the in-situ stress field of the coal rock mass, to obtain the static load stress flow vector and the dynamic load stress flow vector of the coal rock mass to be measured;

[0038] The calculation unit is further used to perform data calculation processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determine the dynamic load stress streamline according to the outer envelope surface;

[0039] The determination unit is used to determine the static load stress flow of the coal rock body to be measured according to the static load stress flow vector, and to determine the dynamic load stress flow of the coal rock body to be measured according to the dynamic load stress streamline.

[0040] Optionally, the first acquiring unit includes:

[0041] A first processing module is used to perform uniaxial loading and unloading test processing through the preset coal-rock mass masonry model to obtain the stress flow characteristics of the coal-rock mass; wherein the preset coal-rock mass masonry model is a pre-constructed model simulating the structural characteristics of the coal-rock mass to be measured;

[0042] The second processing module is used to perform biaxial loading and unloading test processing through the preset coal-rock mass similarity model to obtain the distribution characteristics of the coal-rock mass ground stress field; wherein the preset coal-rock mass similarity model is a pre-constructed model that simulates the material characteristics of the coal-rock mass to be measured.

[0043] Optionally, the first processing module is further used for:

[0044] Acquire first strain data; wherein the first strain data is data obtained by simulating the deadweight stress of the coal rock mass to be measured and simulating the roadway supporting force of the coal rock mass to be measured during the uniaxial loading and unloading test;

[0045] Acquire second strain data; wherein the second strain data is data obtained by simulating the ground stress environment of tunnels with different burial depths in the coal rock mass to be measured during the uniaxial loading and unloading test;

[0046] Performing data calculation processing based on the first strain data to obtain the initial geostress field of the coal rock mass to be measured, and performing data analysis processing based on the initial geostress field of the rock mass to obtain the distribution law of the geostress gradient zone of the coal rock mass to be measured;

[0047] Data analysis and processing are performed based on the second strain data to obtain the rock mass internal stress field change data of the coal rock mass to be measured, and data analysis and processing are performed based on the distribution law of the ground stress gradient zone and the rock mass internal stress field change data to obtain the coal rock mass stress flow characteristics.

[0048] Optionally, the second processing module is further used for:

[0049] Acquire third strain data; wherein the third strain data is data obtained after applying a load of a preset total load value to the preset coal-rock mass similarity model during the biaxial loading and unloading test;

[0050] Performing data analysis and processing according to the third strain data to obtain a stress evolution law corresponding to the preset coal-rock mass similarity model;

[0051] The stress evolution law is subjected to data calculation and processing by a preset similarity ratio to obtain the distribution characteristics of the coal rock mass in-situ stress field, wherein the preset similarity ratio is the scale between the coal rock mass to be measured and the preset coal rock mass similarity model.

[0052] Optionally, the first processing module is further used for:

[0053] Applying a pressure of a first preset pressure value to the preset coal-rock mass masonry model through a first preset pressure device, and applying a supporting force of a second preset pressure value to the tunnel of the preset coal-rock mass masonry model through a second preset pressure device, to obtain the preset coal-rock mass masonry model after a first strain;

[0054] The data of a preset measuring device in the preset coal-rock mass masonry model after the first strain is read to obtain the first strain data.

[0055] Optionally, the first processing module is further used for:

[0056] Applying pressure to the preset coal-rock masonry model according to a first applied gradient by the first preset pressure device, and applying a supporting force to the roadway of the preset coal-rock masonry model according to a second applied gradient by the second preset pressure device, to obtain the preset coal-rock masonry model after a second strain;

[0057] The data of the preset measuring device in the preset coal-rock mass masonry model after the second strain is read to obtain the second strain data.

[0058] Optionally, the second processing module is further used for:

[0059] By means of the third preset pressure device, a pressure of a preset total load value is applied to the preset coal-rock mass similarity model according to a preset load application method, so as to obtain a strained preset coal-rock mass similarity model; wherein the preset total load value is obtained by data calculation using the preset similarity ratio and the total load value of the coal-rock mass to be measured;

[0060] The data of the preset measuring device in the preset coal-rock mass similarity model after the strain is read to obtain the third strain data.

[0061] Optionally, the device further comprises:

[0062] A second acquisition unit is used to acquire first image data of the preset coal-rock mass masonry model during the uniaxial loading and unloading test, and second image data of the preset coal-rock mass similarity model during the biaxial loading and unloading test;

[0063] An analysis unit is used to perform data analysis and processing based on the first image data, the second image data, the static load stress flow of the coal rock mass, and the dynamic load stress flow of the coal rock mass, so as to obtain the correlation between the strain of the coal rock mass to be measured and the static load stress flow of the coal rock mass and / or the dynamic load stress flow of the coal rock mass.

[0064] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0065] at least one processor; and

[0066] a memory communicatively connected to the at least one processor; wherein,

[0067] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0068] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0069] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0070] The present disclosure provides a method and device for measuring static and dynamic stress flow of coal rock mass, and an electronic device, which obtains the stress flow characteristics of the coal rock mass and the distribution characteristics of the ground stress field of the coal rock mass to be measured; wherein the stress flow characteristics of the coal rock mass are obtained by performing a uniaxial loading and unloading test on a preset coal rock mass masonry model, and the ground stress field distribution characteristics of the coal rock mass are obtained by performing a biaxial loading and unloading test on a preset coal rock mass similarity model; stress flow calculation processing is performed based on the stress flow characteristics of the coal rock mass and the ground stress field distribution characteristics of the coal rock mass to obtain the static stress flow vector and the dynamic stress flow vector of the coal rock mass to be measured; data calculation processing is performed based on the dynamic stress flow vector to obtain the outer envelope surface of the dynamic stress flow vector, and the dynamic stress streamline is determined based on the outer envelope surface; the static stress flow of the coal rock mass to be measured is determined based on the static stress flow vector, and the dynamic stress flow of the coal rock mass to be measured is determined based on the dynamic stress streamline. Compared with the related art, after obtaining stress-strain data through uniaxial compression tests and similar simulation tests, the embodiment of the present disclosure calculates the stress gradient field and stress flow vector through the stress flow tensor characterization theory, reveals the stress flow characteristics of coal rock mass under dynamic and static load stress, and can reliably and accurately measure the static and dynamic stress flow of coal rock mass.

[0071] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0073] Figure 1A schematic flow chart of a method for measuring static and dynamic stress flow of coal and rock masses provided in an embodiment of the present disclosure;

[0074] Figure 2 A schematic structural diagram of a preset coal-rock mass masonry model provided in an embodiment of the present disclosure;

[0075] Figure 3 A schematic diagram of the structure of a preset coal-rock mass similarity model provided in an embodiment of the present disclosure;

[0076] Figure 4 A schematic diagram of stress flow characterization provided by an embodiment of the present disclosure;

[0077] Figure 5 A schematic diagram of a static load stress flow and dynamic load stress flow theoretical model provided by an embodiment of the present disclosure;

[0078] Figure 6 A schematic diagram of a process for determining stress flow characteristics of a coal rock mass provided in an embodiment of the present disclosure;

[0079] Figure 7 A schematic diagram of a process for determining distribution characteristics of a coal rock mass geostress field provided in an embodiment of the present disclosure;

[0080] Figure 8 A schematic diagram of the layout of stress measuring points in a preset coal-rock mass similarity model provided in an embodiment of the present disclosure;

[0081] Fig. 9 A schematic diagram of the structure of a device for measuring static and dynamic stress flow of coal and rock mass provided by an embodiment of the present disclosure;

[0082] Fig.10 A schematic diagram of the structure of another device for measuring static and dynamic stress flow of coal and rock mass provided by an embodiment of the present disclosure;

[0083] Fig.11 A schematic block diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0084] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0085] The following describes the method, device and electronic equipment for measuring static and dynamic stress flow of coal and rock masses according to the embodiments of the present disclosure with reference to the accompanying drawings.

[0086] Figure 1 A schematic flow chart of a method for measuring static and dynamic stress flow of coal and rock masses provided in an embodiment of the present disclosure.

[0087] like Figure 1 As shown, the method comprises the following steps:

[0088] Step 101, obtaining the coal rock mass stress flow characteristics and the coal rock mass in-situ stress field distribution characteristics of the coal rock mass to be measured; wherein the coal rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal rock mass masonry model, and the coal rock mass in-situ stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal rock mass similarity model.

[0089] In the embodiment of the present disclosure, the preset coal-rock mass masonry model is a pre-set entity model for simulating the structural characteristics of the coal-rock mass to be measured. Specifically, regarding the preset coal-rock mass masonry model, the present disclosure provides a structural schematic diagram of the preset coal-rock mass masonry model, such as Figure 2 As shown, coal and rock samples are collected on-site from rock burst coal seams in different coal mines, and the coal and rock samples are made into several parallelepiped blocks with different angles (inclination angles of 0°, 15°, 30°, 45°, and 60°) of 100 mm long × 50 mm high × 50 mm thick. The masonry angles of the parallelepiped are used to simulate the structural characteristics of the coal seam and the top and bottom rock strata. A test steel frame is made around the model, and a jack pressure is applied on the top to simulate the self-weight stress field of the overlying rock strata, so as to obtain the preset coal and rock mass masonry model.

[0090] in, Figure 2 The small box (purple) in the figure is a tunnel. The simulated tunnel size is 600mm long and 400mm high. A series of small jacks (blue devices) are arranged in the tunnel to simulate the supporting pressure of the tunnel wall and the excavation unloading process. A large number of dynamic strain gauges (red devices in the figure) are arranged in the near-field and far-field areas around the tunnel. The dynamic strain gauge sampling frequency is 1k / s. The dynamic strain gauge is connected to the computer to directly read and process the data in the computer.

[0091] The preset coal-rock mass similarity model is a pre-set entity model used to simulate the material characteristics of the coal-rock mass to be measured. Specifically, regarding the preset coal-rock mass similarity model, the present disclosure provides a schematic structural diagram of the preset coal-rock mass similarity model, such as Figure 3 As shown in the figure (unit: mm), similar simulation materials composed of coal rock foamed ceramics, gypsum, barite powder and water are made in a certain ratio to simulate coal seams and different top and bottom rock strata, and gypsum and electro-optical paper are used to simulate the structural surfaces, large faults and fracture surfaces of mine rock strata.

[0092] The biaxial loading and unloading test was carried out with the coal rock mass to be measured as the simulation object. Figure 3 It is a model constructed according to the preset geometric similarity ratio of CL=10 of the coal-rock similarity model. According to the geometric similarity ratio, the size of the preset coal-rock similarity model is 3000mm×2000mm×400mm, and the inclination angles of the simulated rock strata are 0°, 15°, 30°, 45° and 60°, etc., respectively. The blank part in the middle is the tunnel, and the layers of different colors represent rock strata of different materials.

[0093] It should be noted that when constructing a preset coal rock mass similarity model, the geometric similarity ratio is the scale between the coal rock mass to be measured and the preset coal rock mass similarity model. The geometric similarity ratio is a preset similarity ratio, which can be set according to actual conditions and is not limited in the embodiments of the present disclosure.

[0094] Step 102: performing stress flow calculation processing according to the stress flow characteristics of the coal-rock mass and the distribution characteristics of the in-situ stress field of the coal-rock mass to obtain the static stress flow vector and the dynamic stress flow vector of the coal-rock mass to be measured.

[0095] In the disclosed embodiment, the coal rock mass stress flow characteristics at least include static load coal rock mass stress flow characteristics or dynamic load coal rock mass stress flow characteristics. Similarly, the coal rock mass geostress field distribution characteristics also at least include static load coal rock mass geostress field distribution characteristics or dynamic load coal rock mass geostress field distribution characteristics.

[0096] Among them, the stress flow characteristics of static loaded coal rock mass are obtained by conducting static loaded uniaxial loading and unloading tests on a preset coal rock masonry model, the distribution characteristics of the ground stress field of static loaded coal rock mass are obtained by conducting static loaded biaxial loading and unloading tests on a preset coal rock similar model, the stress flow characteristics of dynamic loaded coal rock mass are obtained by conducting dynamic loaded uniaxial loading and unloading tests on a preset coal rock masonry model, and the distribution characteristics of the ground stress field of dynamic loaded coal rock mass are obtained by conducting dynamic loaded biaxial loading and unloading tests on a preset coal rock similar model.

[0097] The dynamic load uniaxial loading and unloading test refers to the experimental treatment process of adding preset power equipment to the preset coal rock masonry model on the basis of the static load uniaxial loading and unloading test. The preset power equipment is, for example, a power hammer, etc. The dynamic load biaxial loading and unloading test also refers to the experimental treatment process of adding preset power equipment to the preset coal rock similar model on the basis of the static load biaxial loading and unloading test.

[0098] By performing stress flow calculation processing based on the stress flow characteristics of the statically loaded coal rock mass and the distribution characteristics of the statically loaded coal rock mass stress field, the static load stress flow vector of the coal rock mass to be measured can be obtained. By performing stress flow calculation processing based on the stress flow characteristics of the dynamically loaded coal rock mass and the distribution characteristics of the dynamically loaded coal rock mass stress field, the dynamic load stress flow vector of the coal rock mass to be measured can be obtained.

[0099] Specifically, in order to intuitively understand the static load stress flow vector and the dynamic load stress flow vector, the embodiment of the present disclosure provides a stress flow representation schematic diagram, such as Figure 4 As shown, the static load stress flow is characterized by calculating the static load stress flow vector, and the spatial state of the dynamic load stress flow is characterized by calculating the outer envelope surface of the dynamic load stress flow vector.

[0100] Step 103 , performing data calculation processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determining the dynamic load stress streamline according to the outer envelope surface.

[0101] In the embodiments of the present disclosure, the outer envelope surface of the dynamic load stress flow vector refers to an envelope surface formed by the distribution of the stress flow vector in space under dynamic load conditions, which is usually used to describe the path and range of stress transfer inside the material during dynamic loading. The dynamic load stress streamline can be determined through the outer envelope surface.

[0102] Step 104: determining the static load stress flow of the coal rock mass to be measured according to the static load stress flow vector, and determining the dynamic load stress flow of the coal rock mass to be measured according to the dynamic load stress streamline.

[0103] In the disclosed embodiment, the static load stress flow is characterized by calculating the static load stress flow vector, and the spatial state of the dynamic load stress flow is characterized by calculating the outer envelope surface of the dynamic load stress flow vector.

[0104] Specifically, regarding the characterization of the static and dynamic load stress flow of coal and rock masses, the embodiment of the present disclosure provides a schematic diagram of a theoretical model of static load stress flow and dynamic load stress flow, such as Figure 5 As shown, the static load stress flow and dynamic load stress flow of the coal rock mass can be accurately determined by the static load stress flow vector and the outer envelope surface of the dynamic load stress flow vector.

[0105] The present invention provides a method for measuring static and dynamic load stress flow of a coal rock mass, and obtains the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics of the coal rock mass to be measured; wherein, the coal rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal rock mass masonry model, and the coal rock mass ground stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal rock mass similarity model; stress flow calculation processing is performed according to the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics to obtain the static load stress flow vector and the dynamic load stress flow vector of the coal rock mass to be measured; data calculation processing is performed according to the dynamic load stress flow vector to obtain the outer envelope surface of the dynamic load stress flow vector, and the dynamic load stress streamline is determined according to the outer envelope surface; the coal rock mass static load stress flow of the coal rock mass to be measured is determined according to the static load stress flow vector, and the coal rock mass dynamic load stress flow of the coal rock mass to be measured is determined according to the dynamic load stress streamline. Compared with the related art, after obtaining stress-strain data through uniaxial compression tests and similar simulation tests, the embodiment of the present disclosure calculates the stress gradient field and stress flow vector through the stress flow tensor characterization theory, reveals the stress flow characteristics of coal rock mass under dynamic and static load stress, and can reliably and accurately measure the static and dynamic stress flow of coal rock mass.

[0106] In one implementable manner of the disclosed embodiment, as a refinement of the above-mentioned step 101, when obtaining the stress flow characteristics of the coal rock mass and the distribution characteristics of the coal rock mass in-situ stress field of the coal rock mass to be measured, it can also be implemented by but not limited to the following manner: performing uniaxial loading and unloading test processing through the preset coal rock mass masonry model to obtain the stress flow characteristics of the coal rock mass; wherein the preset coal rock mass masonry model is a pre-constructed model that simulates the structural characteristics of the coal rock mass to be measured; performing biaxial loading and unloading test processing through the preset coal rock mass similarity model to obtain the distribution characteristics of the coal rock mass in-situ stress field; wherein the preset coal rock mass similarity model is a pre-constructed model that simulates the material characteristics of the coal rock mass to be measured.

[0107] In the disclosed embodiment, the uniaxial loading and unloading test process is a test process in which a uniaxial compression load is applied to a preset coal rock masonry model simulating the structure of the coal rock mass to be measured, and then unloading is performed. The purpose is to study the mechanical behavior, deformation characteristics, strength and failure mode of the coal rock mass to be measured under a uniaxial stress state.

[0108] The biaxial loading and unloading test process is used to simulate and study the mechanical behavior and failure mechanism of the coal rock mass to be measured under a biaxial stress state, and is usually carried out on a preset coal rock mass similarity model made of similar materials to better understand the response of the actual coal rock mass in underground engineering and mining activities.

[0109] In one possible implementation of the disclosed embodiment, when performing a uniaxial loading and unloading experiment, it is necessary to perform data calculation based on the obtained experimental data to determine the stress flow characteristics of the coal rock mass. In order to facilitate understanding of the determination process of the stress flow characteristics of the coal rock mass, the disclosed embodiment provides a schematic diagram of the determination process of the stress flow characteristics of the coal rock mass, as shown in FIG. Figure 6 As shown, including:

[0110] Step 601, obtaining first strain data; wherein the first strain data is data obtained by simulating the deadweight stress of the coal rock mass to be measured and simulating the tunnel supporting force of the coal rock mass to be measured during the uniaxial loading and unloading test.

[0111] In the embodiment of the present disclosure, the first strain data can be obtained by, but not limited to, the following methods: Figure 2 When laying the preset coal-rock masonry model, dynamic strain gauges or strain rosettes are first pasted on the surface of the small blocks, and then the masonry is laid. After the laying is completed, constant loads are applied to the top and in the tunnel at the same time. The top jack simulates the deadweight stress of the rock formation, and the jack in the tunnel simulates the supporting force of the coal body when the tunnel is not excavated. At this time, the strain gauges and strain rosette readings pasted inside the rock body are the first strain data.

[0112] Step 602, obtaining second strain data; wherein the second strain data is data obtained by simulating the ground stress environment of tunnels at different burial depths in the coal rock mass to be measured during the uniaxial loading and unloading test.

[0113] In the embodiment of the present disclosure, the second strain data can be obtained in the following manners, but not limited to: Figure 2 , gradually change the supporting force of the jacks in the tunnel to simulate the unloading effect of tunnel excavation, and then superimpose and change the pressure of the top jack to simulate the ground stress environment of tunnels with different buried depths (simulate the ground stress environment of burial depths of 600m, 800m, 1000m, 1200m, etc.). At this time, the changes in the readings of the dynamic strain gauges and strain rosettes pasted inside the rock mass are the second strain data.

[0114] Step 603, performing data calculation processing based on the first strain data to obtain the initial geostress field of the coal rock mass to be measured, and performing data analysis processing based on the initial geostress field of the rock mass to obtain the geostress gradient zone distribution law of the coal rock mass to be measured.

[0115] In the disclosed embodiment, the initial geostress field of the coal rock mass to be measured is calculated by strain gauges and strain rosette readings pasted inside the rock mass, and the distribution law of the geostress gradient zone, that is, the distribution law of the geostress gradient zone of the coal rock mass to be measured, can be obtained by further calculation based on the initial geostress field.

[0116] Step 604, performing data analysis and processing based on the second strain data to obtain the rock mass internal stress field change data of the coal rock mass to be measured, and performing data analysis and processing based on the distribution law of the ground stress gradient zone and the rock mass internal stress field change data to obtain the coal rock mass stress flow characteristics.

[0117] In the disclosed embodiment, by calculating the changes in the readings of the dynamic strain gauges and strain rosettes pasted inside the rock mass (second strain data), the stress field changes inside the rock mass can be calculated, and the stress distribution and change laws of the high gradient stress areas near the four corner points of the tunnel, i.e., the stress field change data inside the rock mass, can be clarified.

[0118] Combined with theoretical analysis, the stress flow characteristics of the coal rock mass can be determined by calculating the stress flow of the coal rock mass (the distribution law of the geostress gradient zone and the stress field change data inside the rock mass) through the change of the stress gradient field.

[0119] In one possible implementation of the embodiment of the present disclosure, when performing a biaxial loading and unloading experiment, it is necessary to perform data calculation based on the obtained experimental data to determine the distribution characteristics of the coal rock mass in-situ stress field. In order to facilitate understanding of the determination process of the coal rock mass in-situ stress field distribution characteristics, the embodiment of the present disclosure provides a schematic diagram of the determination process of the coal rock mass in-situ stress field distribution characteristics, as shown in FIG. Figure 7 As shown, including:

[0120] Step 701, obtaining third strain data; wherein the third strain data is data obtained after applying a load of a preset total load value to the preset coal-rock mass similarity model during the biaxial loading and unloading test.

[0121] In the embodiment of the present disclosure, the third strain data can be obtained in the following manners, but not limited to: Figure 3 , hydraulic jacks are used to apply loads on the top and left and right sides of the preset coal-rock mass similarity model, and the loads are applied to the preset total load value. At this time, the readings of dynamic strain gauges, strain flowers and dynamometers buried in the preset coal-rock mass similarity model are the third strain data.

[0122] It should be noted that the embedding of dynamic strain gauges, strain gauges and dynamometers in the preset coal-rock mass similarity model needs to comply with the preset embedding rules. Specifically, the present disclosure provides a schematic diagram of the layout of stress measurement points in the preset coal-rock mass similarity model, such as Figure 8 As shown in Figure 1, a total of 48 stress measuring points are arranged. In the plane diagram, the measuring points are arranged in 5 rows and 5 columns, where the upper two rows and the lower two rows are symmetrical about the middle row, and the left two columns and the right two columns are symmetrical about the middle column. The actual distances between them and the middle row and the middle column are shown in Figure 1. Figure 8(a) (unit: mm); in the side view, the measuring points are distributed in two planes, and their distances from the boundaries of the preset coal-rock mass similarity model are shown in Figure 8 (b) (unit in the figure: mm).

[0123] Step 702: Perform data analysis and processing based on the third strain data to obtain the stress evolution law corresponding to the preset coal-rock mass similarity model.

[0124] In the disclosed embodiment, the formation and evolution law of the stress field and stress gradient of the preset coal-rock mass similarity model during loading (the stress evolution law corresponding to the preset coal-rock mass similarity model) can be calculated in real time through the readings of the stress measuring points.

[0125] Step 703, performing data calculation processing on the stress evolution law through a preset similarity ratio to obtain the distribution characteristics of the coal rock mass in-situ stress field, wherein the preset similarity ratio is the scale between the coal rock mass to be measured and the preset coal rock mass similarity model.

[0126] In the embodiment of the present disclosure, the real geostress field distribution characteristics of coal rock (the geostress field distribution characteristics of the coal rock mass corresponding to the coal rock mass to be measured) can be obtained by back calculation according to the similarity ratio (preset similarity ratio). When constructing a preset coal rock mass similarity model, the scale between the coal rock mass to be measured and the preset coal rock mass similarity model can be set according to actual conditions, and the embodiment of the present disclosure does not limit it.

[0127] It should be noted that by prefabricating geological structural surface model tests of different sizes and directions (i.e., biaxial loading and unloading tests conducted through the preset coal-rock mass similar model), the influence of different geological structures or coal seam structural characteristics on the ground stress field is revealed, and the essential reasons for the formation of high stress gradient zones in coal-rock mass can be clarified, as well as the induction and barrier mechanism of structural factors on stress flow in coal-rock mass.

[0128] In one implementable manner of the embodiment of the present disclosure, as a refinement of the above-mentioned step 601, when obtaining the first strain data, it can also be implemented by but not limited to the following manner: applying a pressure of a first preset pressure value to the preset coal rock masonry model through a first preset pressure device, and applying a supporting force of a second preset pressure value to the lane of the preset coal rock masonry model through a second preset pressure device, to obtain the preset coal rock masonry model after the first strain; reading the data of the preset measuring device in the preset coal rock masonry model after the first strain, to obtain the first strain data.

[0129] In the embodiment of the present disclosure, the first preset pressure device and the second pressure device are custom-set pressure devices, such as a jack, etc. The first preset pressure value and the second preset pressure value are custom-set pressure values, which can be set according to actual conditions. The preset measuring device is also a custom-set device, such as a strain gauge, a strain flower, etc. Specifically, the first preset pressure device and the second pressure device, the first preset pressure value and the second preset pressure value, and the preset measuring device can be set according to actual conditions, and the embodiment of the present disclosure does not limit them.

[0130] Related to the above-mentioned embodiment, when obtaining the second strain data, it can also be implemented by but not limited to the following methods: applying pressure to the preset coal rock masonry model according to the first applied gradient through the first preset pressure device, and applying a supporting force to the tunnel of the preset coal rock masonry model according to the second applied gradient through the second preset pressure device to obtain the preset coal rock masonry model after the second strain; reading the data of the preset measuring device in the preset coal rock masonry model after the second strain to obtain the second strain data.

[0131] In the disclosed embodiment, the first applied gradient and the second applied gradient are custom-set force application gradients, the first applied gradient is a gradual increase in pressure, and the second applied gradient is a gradual decrease in pressure, that is, gradually changing (reducing) the supporting force of the jack (the second preset pressure device) in the tunnel to simulate the unloading effect of tunnel excavation, and then gradually changing (increasing) the pressure of the top jack (the first preset pressure device) to simulate the ground stress environment of the coal rock mass to be measured in tunnels of different burial depths.

[0132] In one implementable manner of the embodiment of the present disclosure, as a refinement of the above-mentioned step 701, when obtaining the third strain data, it can also be implemented by but not limited to the following manner: through the third preset pressure device, a pressure of a preset total load value is applied to the preset coal rock mass similarity model according to a preset load application method, so as to obtain the preset coal rock mass similarity model after strain; wherein the preset total load value is obtained by performing data calculation through the preset similarity ratio and the total load value of the coal rock mass to be measured; and the data of the preset measurement device in the preset coal rock mass similarity model after strain is read to obtain the third strain data.

[0133] In the embodiment of the present disclosure, the third preset pressure device is a custom-set pressure device, such as a jack, etc. Specifically, the third preset pressure device can be set according to actual conditions, and the embodiment of the present disclosure does not limit it.

[0134] The total value of the preset load needs to be determined based on the on-site monitoring results of the ground stress of the rock burst mine, that is, the total value of the preset load that needs to be applied to the preset coal rock mass similarity model is determined based on the coal rock mass to be measured. Specifically, data calculation is performed based on the preset similarity ratio and the total load value of the coal rock mass to be measured. For example: if the preset similarity ratio is 10, and the total load value of the coal rock mass to be measured is 100MPa, then the total value of the preset load is 10Mpa.

[0135] It should be noted that the preset total load value includes the total vertical load value and the total horizontal load value, that is, when applying load to the preset coal rock mass similarity model, load will be applied in the vertical direction and horizontal direction of the preset coal rock mass similarity model respectively (for example: using hydraulic jacks to apply loads on the top and left and right sides of the model respectively, etc.).

[0136] The preset load application method is a custom setting loading method, which can be implemented in the following ways but not limited to: hydraulic jacks are used to apply loads on the top and left and right sides of the model respectively, and the entire loading process adopts slow loading. The model load application method can be divided into four stages:

[0137] (1) Apply an initial load of approximately 1 MPa to the top and left and right sides of the model;

[0138] (2) Keep the horizontal loads on the left and right sides unchanged and apply a top load to 50% of the predetermined total top load;

[0139] (3) Keep the top vertical load unchanged and apply a horizontal load to 80% of the predetermined horizontal total load;

[0140] (4) Simultaneously applying the top load and the horizontal loads on the left and right sides to a predetermined total load (the preset total load value).

[0141] Specifically, the preset load application method can be set according to actual conditions, and the embodiments of the present disclosure do not limit this.

[0142] In one implementable manner of the embodiment of the present disclosure, after measuring the static load stress flow and the dynamic load stress flow of the coal rock mass, it is necessary to apply the static load stress flow and the dynamic load stress flow of the coal rock mass to analyze the intrinsic correlation between the stress flow and the coal rock mass fracture and the impact ground pressure in the coal rock mass to be measured. The application of the static load stress flow and the dynamic load stress flow of the coal rock mass can also be implemented in but not limited to the following manner: obtaining the first image data of the preset coal rock masonry model during the uniaxial loading and unloading test, and the second image data of the preset coal rock similar model during the biaxial loading and unloading test; performing data analysis and processing based on the first image data, the second image data, the static load stress flow of the coal rock mass, and the dynamic load stress flow of the coal rock mass to obtain the correlation between the strain of the coal rock mass to be measured and the static load stress flow and / or the dynamic load stress flow of the coal rock mass.

[0143] In the disclosed embodiments, the calculation results of stress flow under dynamic and static loads are combined with the model deformation and failure process captured by high-speed cameras under static load tests and dynamic load tests, respectively, to reveal the precursor characteristics of stress flow before and after coal rock rupture under dynamic and static loads, and to clarify the intrinsic correlation between stress flow and coal rock rupture and impact rock pressure.

[0144] In summary, the embodiments of the present disclosure can achieve the following effects:

[0145] 1. After obtaining stress-strain data through uniaxial compression tests and similar simulation tests, the embodiment of the present disclosure calculates the stress gradient field and stress flow vector through the stress flow tensor characterization theory, reveals the stress flow characteristics of coal rock mass under dynamic and static load stress, and can reliably and accurately measure the static and dynamic stress flow of coal rock mass.

[0146] 2. The disclosed embodiments provide a powerful tool for in-depth understanding of the distribution of high stress gradient fields in coal and rock masses, the formation and evolution of stress flows, and thus lay an important foundation for the accurate prediction and prevention of rock bursts during deep mining.

[0147] Corresponding to the above-mentioned method for measuring static and dynamic load stress flow of coal and rock mass, the present invention also proposes a device for measuring static and dynamic load stress flow of coal and rock mass. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, the details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0148] Fig. 9 A schematic diagram of a structure of a device for measuring static and dynamic stress flow of coal and rock mass provided by an embodiment of the present disclosure, such as Fig. 9 As shown, including:

[0149] The first acquisition unit 91 is used to acquire the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics of the coal rock mass to be measured; wherein the coal rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal rock mass masonry model, and the coal rock mass ground stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal rock mass similarity model;

[0150] A calculation unit 92 is used to perform stress flow calculation processing according to the stress flow characteristics of the coal rock mass and the distribution characteristics of the in-situ stress field of the coal rock mass, so as to obtain the static stress flow vector and the dynamic stress flow vector of the coal rock mass to be measured;

[0151] The calculation unit 92 is further used to perform data calculation processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determine the dynamic load stress streamline according to the outer envelope surface;

[0152] The determination unit 93 is used to determine the static load stress flow of the coal rock mass to be measured according to the static load stress flow vector, and to determine the dynamic load stress flow of the coal rock mass to be measured according to the dynamic load stress streamline.

[0153] The present invention provides a measuring device for static and dynamic load stress flow of coal rock mass, which obtains the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics of the coal rock mass to be measured; wherein the coal rock mass stress flow characteristics are obtained by performing uniaxial loading and unloading tests on a preset coal rock mass masonry model, and the coal rock mass ground stress field distribution characteristics are obtained by performing biaxial loading and unloading tests on a preset coal rock mass similarity model; stress flow calculation processing is performed according to the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics to obtain the static load stress flow vector and the dynamic load stress flow vector of the coal rock mass to be measured; data calculation processing is performed according to the dynamic load stress flow vector to obtain the outer envelope surface of the dynamic load stress flow vector, and the dynamic load stress streamline is determined according to the outer envelope surface; the coal rock mass static load stress flow of the coal rock mass to be measured is determined according to the static load stress flow vector, and the coal rock mass dynamic load stress flow of the coal rock mass to be measured is determined according to the dynamic load stress streamline. Compared with the related art, after obtaining stress-strain data through uniaxial compression tests and similar simulation tests, the embodiment of the present disclosure calculates the stress gradient field and stress flow vector through the stress flow tensor characterization theory, reveals the stress flow characteristics of coal rock mass under dynamic and static load stress, and can reliably and accurately measure the static and dynamic stress flow of coal rock mass.

[0154] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the first acquisition unit 91 includes:

[0155] The first processing module 911 is used to perform uniaxial loading and unloading test processing through the preset coal-rock mass masonry model to obtain the stress flow characteristics of the coal-rock mass; wherein the preset coal-rock mass masonry model is a pre-constructed model simulating the structural characteristics of the coal-rock mass to be measured;

[0156] The second processing module 912 is used to perform biaxial loading and unloading test processing through the preset coal-rock mass similarity model to obtain the distribution characteristics of the coal-rock mass in-situ stress field; wherein the preset coal-rock mass similarity model is a pre-constructed model that simulates the material characteristics of the coal-rock mass to be measured.

[0157] Furthermore, in a possible implementation of the embodiment of the present disclosure, the first processing module 911 is further configured to:

[0158] Acquire first strain data; wherein the first strain data is data obtained by simulating the deadweight stress of the coal rock mass to be measured and simulating the roadway supporting force of the coal rock mass to be measured during the uniaxial loading and unloading test;

[0159] Acquire second strain data; wherein the second strain data is data obtained by simulating the ground stress environment of tunnels with different burial depths in the coal rock mass to be measured during the uniaxial loading and unloading test;

[0160] Performing data calculation processing based on the first strain data to obtain the initial geostress field of the coal rock mass to be measured, and performing data analysis processing based on the initial geostress field of the rock mass to obtain the distribution law of the geostress gradient zone of the coal rock mass to be measured;

[0161] Data analysis and processing are performed based on the second strain data to obtain the rock mass internal stress field change data of the coal rock mass to be measured, and data analysis and processing are performed based on the distribution law of the ground stress gradient zone and the rock mass internal stress field change data to obtain the coal rock mass stress flow characteristics.

[0162] Furthermore, in a possible implementation of the embodiment of the present disclosure, the second processing module 912 is further configured to:

[0163] Acquire third strain data; wherein the third strain data is data obtained after applying a load of a preset total load value to the preset coal-rock mass similarity model during the biaxial loading and unloading test;

[0164] Performing data analysis and processing according to the third strain data to obtain a stress evolution law corresponding to the preset coal-rock mass similarity model;

[0165] The stress evolution law is subjected to data calculation and processing by a preset similarity ratio to obtain the distribution characteristics of the coal rock mass in-situ stress field, wherein the preset similarity ratio is the scale between the coal rock mass to be measured and the preset coal rock mass similarity model.

[0166] Furthermore, in a possible implementation of the embodiment of the present disclosure, the first processing module 911 is further configured to:

[0167] Applying a pressure of a first preset pressure value to the preset coal-rock mass masonry model through a first preset pressure device, and applying a supporting force of a second preset pressure value to the tunnel of the preset coal-rock mass masonry model through a second preset pressure device, to obtain the preset coal-rock mass masonry model after a first strain;

[0168] The data of a preset measuring device in the preset coal-rock mass masonry model after the first strain is read to obtain the first strain data.

[0169] Furthermore, in a possible implementation of the embodiment of the present disclosure, the first processing module 911 is further configured to:

[0170] Applying pressure to the preset coal-rock masonry model according to a first applied gradient by the first preset pressure device, and applying a supporting force to the roadway of the preset coal-rock masonry model according to a second applied gradient by the second preset pressure device, to obtain the preset coal-rock masonry model after a second strain;

[0171] The data of the preset measuring device in the preset coal-rock mass masonry model after the second strain is read to obtain the second strain data.

[0172] Furthermore, in a possible implementation of the embodiment of the present disclosure, the second processing module 912 is further configured to:

[0173] By means of the third preset pressure device, a pressure of a preset total load value is applied to the preset coal-rock mass similarity model according to a preset load application method, so as to obtain a strained preset coal-rock mass similarity model; wherein the preset total load value is obtained by data calculation using the preset similarity ratio and the total load value of the coal-rock mass to be measured;

[0174] The data of the preset measuring device in the preset coal-rock mass similarity model after the strain is read to obtain the third strain data.

[0175] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the device also includes:

[0176] A second acquisition unit 94 is used to acquire first image data of the preset coal-rock mass masonry model during the uniaxial loading and unloading test, and second image data of the preset coal-rock mass similarity model during the biaxial loading and unloading test;

[0177] The analysis unit 95 is used to perform data analysis and processing based on the first image data, the second image data, the static load stress flow of the coal rock mass, and the dynamic load stress flow of the coal rock mass, to obtain the correlation between the strain of the coal rock mass to be measured and the static load stress flow of the coal rock mass and / or the dynamic load stress flow of the coal rock mass.

[0178] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0179] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0180] Fig.11 A schematic block diagram of an example electronic device 1100 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0181] like Fig.11 As shown, the device 1100 includes a computing unit 1101, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 1102 or a computer program loaded from a storage unit 1108 to a RAM (Random Access Memory) 1103. In the RAM 1103, various programs and data required for the operation of the device 1100 can also be stored. The computing unit 1101, the ROM 1102, and the RAM 1103 are connected to each other via a bus 1104. An I / O (Input / Output) interface 1105 is also connected to the bus 1104.

[0182] A number of components in the device 1100 are connected to the I / O interface 1105, including: an input unit 1106, such as a keyboard, a mouse, etc.; an output unit 1107, such as various types of displays, speakers, etc.; a storage unit 1108, such as a disk, an optical disk, etc.; and a communication unit 1109, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 1109 allows the device 1100 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0183] The computing unit 1101 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 1101 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 1101 performs the various methods and processes described above, such as a method for measuring static and dynamic load stress flow of a coal rock mass. For example, in some embodiments, the method for measuring static and dynamic load stress flow of a coal rock mass may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 1108. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 1100 via the ROM 1102 and / or the communication unit 1109. When the computer program is loaded into RAM 1103 and executed by the computing unit 1101, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 1101 may be configured to perform the aforementioned method for measuring static and dynamic load stress flow of coal and rock mass by any other appropriate means (e.g., by means of firmware).

[0184] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a dedicated or general-purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0185] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0186] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0187] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0188] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0189] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0190] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0191] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0192] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for measuring static and dynamic stress flow of coal and rock mass, characterized in that: include: Obtaining the coal-rock mass stress flow characteristics and the coal-rock mass in-situ stress field distribution characteristics of the coal-rock mass to be measured; wherein the coal-rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal-rock mass masonry model, and the coal-rock mass in-situ stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal-rock mass similarity model; Perform stress flow calculation processing according to the stress flow characteristics of the coal rock mass and the distribution characteristics of the in-situ stress field of the coal rock mass to obtain the static stress flow vector and the dynamic stress flow vector of the coal rock mass to be measured; Performing data calculation and processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determining a dynamic load stress streamline according to the outer envelope surface; The static load stress flow of the coal rock mass to be measured is determined according to the static load stress flow vector, and the dynamic load stress flow of the coal rock mass to be measured is determined according to the dynamic load stress streamline.

2. The method according to claim 1, characterized in that The method of obtaining the coal-rock mass stress flow characteristics and the coal-rock mass ground stress field distribution characteristics of the coal-rock mass to be measured includes: The uniaxial loading and unloading test is performed on the preset coal-rock mass masonry model to obtain the stress flow characteristics of the coal-rock mass; wherein the preset coal-rock mass masonry model is a pre-constructed model simulating the structural characteristics of the coal-rock mass to be measured; The biaxial loading and unloading test is carried out by using the preset coal-rock mass similarity model to obtain the distribution characteristics of the coal-rock mass in-situ stress field; wherein the preset coal-rock mass similarity model is a pre-constructed model that simulates the material characteristics of the coal-rock mass to be measured.

3. The method according to claim 2, characterized in that The stress flow characteristics of the coal rock mass obtained by performing uniaxial loading and unloading test processing on the preset coal rock mass masonry model include: Acquire first strain data; wherein the first strain data is data obtained by simulating the deadweight stress of the coal rock mass to be measured and simulating the roadway supporting force of the coal rock mass to be measured during the uniaxial loading and unloading test; Acquire second strain data; wherein the second strain data is data obtained by simulating the ground stress environment of tunnels with different burial depths in the coal rock mass to be measured during the uniaxial loading and unloading test; Performing data calculation processing based on the first strain data to obtain the initial geostress field of the coal rock mass to be measured, and performing data analysis processing based on the initial geostress field of the rock mass to obtain the distribution law of the geostress gradient zone of the coal rock mass to be measured; Data analysis and processing are performed based on the second strain data to obtain the rock mass internal stress field change data of the coal rock mass to be measured, and data analysis and processing are performed based on the distribution law of the ground stress gradient zone and the rock mass internal stress field change data to obtain the coal rock mass stress flow characteristics.

4. The method according to claim 2, characterized in that: The distribution characteristics of the in-situ stress field of the coal-rock mass obtained by performing biaxial loading and unloading test processing on the preset coal-rock mass similarity model include: Acquire third strain data; wherein the third strain data is data obtained after applying a load of a preset total load value to the preset coal-rock mass similarity model during the biaxial loading and unloading test; Performing data analysis and processing according to the third strain data to obtain a stress evolution law corresponding to the preset coal-rock mass similarity model; The stress evolution law is subjected to data calculation and processing by a preset similarity ratio to obtain the distribution characteristics of the coal rock mass in-situ stress field, wherein the preset similarity ratio is the scale between the coal rock mass to be measured and the preset coal rock mass similarity model.

5. The method according to claim 3, characterized in that: The obtaining of the first strain data comprises: Applying a pressure of a first preset pressure value to the preset coal-rock mass masonry model through a first preset pressure device, and applying a supporting force of a second preset pressure value to the tunnel of the preset coal-rock mass masonry model through a second preset pressure device, to obtain the preset coal-rock mass masonry model after a first strain; The data of a preset measuring device in the preset coal-rock mass masonry model after the first strain is read to obtain the first strain data.

6. The method according to claim 5, characterized in that The obtaining of the second strain data comprises: Applying pressure to the preset coal-rock masonry model according to a first applied gradient by the first preset pressure device, and applying a supporting force to the roadway of the preset coal-rock masonry model according to a second applied gradient by the second preset pressure device, to obtain the preset coal-rock masonry model after a second strain; The data of the preset measuring device in the preset coal-rock mass masonry model after the second strain is read to obtain the second strain data.

7. The method according to claim 4, characterized in that The obtaining of the third strain data comprises: By means of the third preset pressure device, a pressure of a preset total load value is applied to the preset coal-rock mass similarity model according to a preset load application method, so as to obtain a strained preset coal-rock mass similarity model; wherein the preset total load value is obtained by data calculation using the preset similarity ratio and the total load value of the coal-rock mass to be measured; The data of the preset measuring device in the preset coal-rock mass similarity model after the strain is read to obtain the third strain data.

8. The method according to claim 1, characterized in that After determining the static load stress flow of the coal rock mass to be measured according to the static load stress flow vector, and determining the dynamic load stress flow of the coal rock mass to be measured according to the dynamic load stress streamline, the method further includes: Acquire first image data of the preset coal-rock mass masonry model during the uniaxial loading and unloading test, and second image data of the preset coal-rock mass similarity model during the biaxial loading and unloading test; Data analysis and processing are performed based on the first image data, the second image data, the static load stress flow of the coal rock mass, and the dynamic load stress flow of the coal rock mass to obtain the correlation between the strain of the coal rock mass to be measured and the static load stress flow of the coal rock mass and / or the dynamic load stress flow of the coal rock mass.

9. A device for measuring static and dynamic stress flow of coal and rock mass, characterized in that: include: An acquisition unit is used to acquire the coal rock mass stress flow characteristics and the coal rock mass ground stress field distribution characteristics of the coal rock mass to be measured; wherein the coal rock mass stress flow characteristics are obtained by performing a uniaxial loading and unloading test on a preset coal rock mass masonry model, and the coal rock mass ground stress field distribution characteristics are obtained by performing a biaxial loading and unloading test on a preset coal rock mass similarity model; A calculation unit, used for performing stress flow calculation processing according to the stress flow characteristics of the coal rock mass and the distribution characteristics of the in-situ stress field of the coal rock mass, to obtain the static load stress flow vector and the dynamic load stress flow vector of the coal rock mass to be measured; The calculation unit is further used to perform data calculation processing according to the dynamic load stress flow vector to obtain an outer envelope surface of the dynamic load stress flow vector, and determine the dynamic load stress streamline according to the outer envelope surface; The determination unit is used to determine the static load stress flow of the coal rock body to be measured according to the static load stress flow vector, and to determine the dynamic load stress flow of the coal rock body to be measured according to the dynamic load stress streamline.

10. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

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