System and method for evaluating spatiotemporal migration of ore rock disseminations
Patent Information
- Application Number
- CN202610497568.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-15
- Publication Date
- 2026-08-28
AI Technical Summary
然而,在现场矿岩散体运搬过程中散体的运移仍属于“黑箱问题”,难以通过现场测试手段获取散体的运移规律,这样无法为金属矿矿岩散体的高效运搬提供散体运移与块度数据,影响采场矿岩散体出矿效率
本发明考虑矿岩散体的宏观轮廓与散体运动条件,实时输出矿岩散体的块度特征,提取得到矿岩散体整体变化特征、矿岩散体标志颗粒的受力参数及空间位移参数及不同开挖阶段散体的级配与贫化率参数,进而构建出矿岩散体的时空运移模型,实现了矿岩散体时空运移的定量化与可视化分析,为金属矿矿岩散体的高效运搬提供散体运移与块度数据,为矿岩散体的运搬设计提供数据与模型支撑。
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Figure CN122656979A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of metal mining, and in particular to a system and method for evaluating the spatiotemporal transport of ore and rock. Background Technology
[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.
[0003] Deeply buried metal mines often employ blasting or subsequent backfilling mining. During the mining process, ore and rock bulk materials need to be transported from the bottom of the ore and rock bulk accumulation. Achieving efficient transport of ore and rock bulk materials and reducing the dilution rate of these materials is one of the core indicators in the design of ore and rock bulk material extraction in the stope. However, the movement of ore and rock bulk materials during on-site transport remains a "black box problem," making it difficult to obtain the movement patterns through on-site testing. This makes it impossible to provide data on the movement and size of ore and rock bulk materials for efficient transport of metal mine ore, thus affecting the efficiency of ore and rock bulk material extraction in the stope. Summary of the Invention
[0004] To address the aforementioned technical problems, this invention provides a spatiotemporal transport evaluation system and method for ore and rock bulk materials, which can provide bulk material transport and block size analysis data for the efficient transport of metal ore and rock bulk materials, and helps to improve the ore extraction efficiency of mining sites.
[0005] To achieve the above objectives, the present invention adopts the following technical solution: The first aspect of the present invention provides a system for evaluating the spatiotemporal transport of mineral and rock granules.
[0006] In one or more embodiments, a test framework for the spatiotemporal transport model of ore and rock bulk materials, a bulk material transport device, an image acquisition device, and a processor are included; The ore-rock bulk material is set within the test framework of the spatiotemporal transport model of the ore-rock bulk material; The bulk transport device is connected to the bottom of the test frame for the spatiotemporal transport model of ore and rock, and is used to transport the ore and rock within the test frame for the spatiotemporal transport model of ore and rock. The quality parameters of the ore and rock are determined by quality calibration of the mined ore body. The ore and rock are screened by different particle sizes using the bulk block size module to obtain the mass distribution of ore and rock with different particle sizes and transmit it to the processor. The image acquisition device is set above the bulk transport device and is used to acquire images of ore and rock in different transport states and extract the overall contour curves and marker particle contour curves of ore and rock in different transport states. It is used to depict the overall image of the accumulation morphology of ore and rock during the transport process, and then obtain the overall change characteristics of ore and rock and transmit them to the processor. The processor is also configured to: Real-time reception of the force parameters and spatial displacement parameters of each mineral and rock aggregate marker particle under different transport conditions; Based on the mass distribution of ore and rock granules with different particle sizes, and compared with the calibrated mass of ore and rock granules, the gradation and dilution rate parameters of ore and rock granules at different excavation stages are obtained in real time as the ore and rock granules are transported. Based on the overall variation characteristics of ore and rock mass, the stress parameters and spatial displacement parameters of the marker particles of ore and rock mass, and the gradation and depletion rate parameters of the mass at different excavation stages, a spatiotemporal transport model of ore and rock mass is generated to achieve quantitative and visual analysis of the spatiotemporal transport of ore and rock mass.
[0007] In one implementation, the mineral-rock mass is a simulated on-site condition, consisting of similar rock mass marker particles made of similar materials and sensing elements, and with similar mechanical properties to the on-site rock mass. A visual model is created using a transparent PTFE plate.
[0008] In one embodiment, the bulk material transport device includes a bulk ore discharge guide rail, a bucket device, and a bulk ore grading device mounted on the bulk ore discharge guide rail; the bulk ore discharge guide rail is connected to the bottom of the bulk ore spatiotemporal transport model test frame, the bucket device is used to scoop and transport the bulk ore; the bulk ore grading device is used to weigh and screen the bulk ore in a timely manner.
[0009] As one implementation method, based on the geological conditions of the ore and rock mass at the site, by adjusting the proportions of cement, sand and water, spatiotemporal transport marker particles of the ore and rock mass are prepared so that the basic mechanical parameters of the spatiotemporal transport marker particles are similar to the mechanical parameters of the ore and rock mass at the site. During the preparation process, a spatial displacement sensor and a wireless stress sensor are pre-embedded inside the spatiotemporal transport marker particles of the ore and rock mass, so as to realize the output of spatial displacement and force information during the transport process of the ore and rock mass.
[0010] As one implementation method, based on the on-site geological conditions and ore extraction design scheme, the gradation of the ore and rock mass is designed to make the gradation of the ore and rock mass used in the test similar to that of the ore and rock mass on site. Subsequently, the graded ore and rock mass is arranged at a set height in the test frame of the ore and rock mass spatiotemporal transport model. During the arrangement process, ore and rock mass spatiotemporal transport marker particles are arranged at different heights, and the initial displacement parameters and stress parameters of the ore and rock mass spatiotemporal transport marker particles are calibrated.
[0011] A second aspect of the present invention provides a method for evaluating the spatiotemporal transport of mineral and rock granules.
[0012] Images of ore and rock in different transport states are obtained, and the overall contour curves and marker particle contour curves of ore and rock in different transport states are extracted from them. The overall image characterization of the accumulation morphology of ore and rock during transport is carried out, and the overall change characteristics of ore and rock are obtained. Real-time acquisition of the stress parameters and spatial displacement parameters of each mineral and rock aggregate marker particle under different transport conditions; The quality parameters of ore and rock bulk are determined by quality calibration of the mined ore body. The ore and rock bulk are screened by different particle sizes using the bulk block size module to obtain the quality distribution of ore and rock bulk with different particle sizes. The quality is compared with the calibrated ore and rock bulk. As the ore and rock bulk is transported, the gradation and dilution rate parameters of ore and rock bulk at different excavation stages are analyzed in real time. Based on the overall variation characteristics of ore and rock mass, the stress parameters and spatial displacement parameters of the marker particles of ore and rock mass, and the gradation and depletion rate parameters of the mass at different excavation stages, a spatiotemporal transport model of ore and rock mass is generated to achieve quantitative and visual analysis of the spatiotemporal transport of ore and rock mass.
[0013] As one implementation method, the overall variation characteristics of the ore-rock mass are set as S, the force parameter of the ore-rock mass marker particles is set as F, the spatial displacement parameter is set as V, and the gradation and dilution rate parameters of the ore-rock mass include the dilution rate P and the block size parameter N. All of the above parameters are functions of the number of excavations n.
[0014] As one implementation method, the overall variation characteristics S of the ore-rock mass, the force parameter F of the ore-rock mass marker particles, the spatial displacement parameter V, the depletion rate P, and the block size parameter N are all dimensionless. The ore-rock mass migration evaluation index is set as follows: Y ( n ): Y ( n )= a s ( n )+ b [ p ( n )+ g ( n )]+ c [ v ( n )+ f ( n )]; ; ; ; ; ; in, a These are the parameters for fitting the macroscopic curve of the ore-rock granular material. b These are the fitting parameters for the characteristics of ore-rock granules. cThese are fitting parameters for the motion characteristics of ore-rock granules. , , , and These are related to the number of excavations. The overall variation characteristic function, dilution rate function, block size parameter function, spatial displacement parameter function, and stress parameter function of the ore-rock granular material; This represents the maximum value corresponding to the overall variation characteristics of the ore-rock mass; This is the initial value corresponding to the block size parameter; This represents the maximum value corresponding to the spatial displacement parameter; This represents the residual stress value. The critical number of excavations; , , , , , , and All are constant coefficients.
[0015] A third aspect of the present invention provides a system for evaluating the spatiotemporal transport of mineral and rock granules.
[0016] In one or more embodiments, a system for evaluating the spatiotemporal transport of ore and rock bulk materials includes: The module for acquiring the overall features of ore and rock bulk is used to acquire images of ore and rock bulk in different transport states and extract the overall contour curves and marker particle contour curves of ore and rock bulk in different transport states. It can then perform an overall image characterization of the accumulation morphology of ore and rock bulk during transport and obtain the overall change features of ore and rock bulk. The ore and rock mass motion characteristic acquisition module is used to acquire the force parameters and spatial displacement parameters of each ore and rock mass marker particle under different transport conditions in real time. The ore and rock bulk size characteristic acquisition module is used to determine the quality parameters of ore and rock bulk by quality calibration of the mined ore body. The bulk size module is used to screen the ore and rock bulk with different particle sizes to obtain the quality distribution of ore and rock bulk with different particle sizes, and compare it with the calibrated ore and rock bulk quality. As the ore and rock bulk is transported, the gradation and dilution rate parameters of ore and rock bulk at different excavation stages are analyzed in real time. The spatiotemporal transport model construction module is used to generate a spatiotemporal transport model of ore and rock based on the overall change characteristics of ore and rock, the stress parameters and spatial displacement parameters of the marker particles of ore and rock, and the gradation and depletion rate parameters of the ore and rock at different excavation stages, so as to realize the quantitative and visual analysis of the spatiotemporal transport of ore and rock.
[0017] A fourth aspect of the present invention provides an electronic device.
[0018] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the above-described method for evaluating the spatiotemporal migration of ore and rock bulk materials.
[0019] Compared with the prior art, the beneficial effects of the present invention are: This invention considers the macroscopic outline and movement conditions of ore and rock granules, outputs the block size characteristics of ore and rock granules in real time, extracts the overall change characteristics of ore and rock granules, the stress parameters and spatial displacement parameters of the marker particles of ore and rock granules, and the gradation and depletion rate parameters of the granules at different excavation stages, and then constructs a spatiotemporal transport model of ore and rock granules, realizing the quantitative and visual analysis of the spatiotemporal transport of ore and rock granules, providing granule transport and block size data for the efficient transport of metal ore and rock granules, and providing data and model support for the transport design of ore and rock granules. Attached Figure Description
[0020] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.
[0021] Figure 1 This is a schematic diagram of the structure of the ore and rock bulk spatiotemporal transport evaluation system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the spatiotemporal transport evaluation system for ore and rock granules according to an embodiment of the present invention.
[0022] The components include: 1. a test framework for the spatiotemporal transport model of ore and rock bulk materials; 2. a guide rail for ore and rock bulk material discharge; 3. a bucket device; 4. an ore and rock bulk material gradation device; and 5. an image acquisition device. Detailed Implementation
[0023] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0024] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.
[0025] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0026] according to Figure 1 and Figure 2 This invention provides a system for evaluating the spatiotemporal transport of ore and rock, comprising: a model test frame 1 for the spatiotemporal transport of ore and rock, a transport device, an image acquisition device 5, and a processor; ore and rock are arranged within the model test frame 1 for the spatiotemporal transport of ore and rock. The bulk transport device is connected to the bottom of the test frame 1 for the spatiotemporal transport model of ore and rock. It is used to transport the ore and rock within the test frame 1. The quality parameters of the ore and rock are determined by quality calibration of the mined ore body. The ore and rock are screened by different particle sizes using the bulk block size module to obtain the mass distribution of ore and rock with different particle sizes and transmit it to the processor. Image acquisition device 5 is set above the bulk transport device to acquire images of ore and rock in different transport states and extract the overall contour curve and marker particle contour curve of ore and rock in different transport states. It can also perform an overall image characterization of the accumulation morphology of ore and rock during transport, thereby obtaining the overall change characteristics of ore and rock and transmitting them to the processor. The processor is also configured as follows: Real-time reception of the force parameters and spatial displacement parameters of each mineral and rock aggregate marker particle under different transport conditions; Based on the mass distribution of ore and rock granules with different particle sizes, the gradation and dilution rate parameters of ore and rock granules at different excavation stages are obtained through real-time analysis as the ore and rock granules are transported. Based on the overall variation characteristics of ore and rock mass, the stress parameters and spatial displacement parameters of the marker particles of ore and rock mass, and the gradation and depletion rate parameters of the mass at different excavation stages, a spatiotemporal transport model of ore and rock mass is generated to achieve quantitative and visual analysis of the spatiotemporal transport of ore and rock mass.
[0027] In the specific implementation process, the bulk material transportation device includes a bulk ore discharge guide rail 2 and a bucket device 3 and a bulk ore grading device 4 set on the bulk ore discharge guide rail 2; the bulk ore discharge guide rail 2 is connected to the bottom of the bulk ore spatiotemporal transport model test frame 1, the bucket device 3 is used to scoop and transport bulk ore; the bulk ore grading device 4 is used to weigh and screen the bulk ore in a timely manner.
[0028] In the specific implementation process, it is first necessary to obtain the basic geological parameters of the ore and rock bulk material, the ore discharge design, and the ore body grade to calibrate the size, shape, and quality parameters of the ore and rock bulk material for the test. Then, a spatiotemporal transport model device for the ore and rock bulk material is fabricated. The device dimensions are further scaled down according to the on-site ore discharge design, and the basic block size characteristics of the bulk material are determined based on the ore discharge design. Subsequently, a transparent PTFE plate is used to fabricate the model test device to ensure visualization of the spatiotemporal transport process of the ore and rock bulk material. During installation, the dimensions and spacing of the bottom roadway of the spatiotemporal transport model test frame 1 of the ore and rock bulk material are determined according to the on-site ore discharge design, and the side plates are roughened to simulate the frictional conditions of bulk material transport in the on-site stope.
[0029] Based on the geological conditions of the ore and rock mass at the site, by adjusting the proportions of cement, sand and water, spatiotemporal transport marker particles for ore and rock mass are prepared so that the basic mechanical parameters of the spatiotemporal transport marker particles are similar to those of the ore and rock mass at the site. During the preparation process, spatial displacement sensors and wireless stress sensors are pre-embedded inside the spatiotemporal transport marker particles, so as to output spatial displacement and force information during the transport of ore and rock mass.
[0030] Based on the on-site geological conditions and ore extraction design, the gradation of the ore and rock mass was designed to make the gradation of the ore and rock mass used in the test similar to that of the ore and rock mass on site. Subsequently, the graded ore and rock mass was arranged at a set height in the test frame 1 of the ore and rock mass spatiotemporal transport model. During the arrangement process, ore and rock mass spatiotemporal transport marker particles were arranged at different heights, and the initial displacement parameters and stress parameters of the ore and rock mass spatiotemporal transport marker particles were calibrated.
[0031] After the ore and rock bulk material is laid out, the image acquisition device 5, the bucket device 3, and the processor are turned on to conduct a bulk material transport test during the ore and rock bulk material transportation process. During the test, the bucket device 3 enters the bottom roadway of the ore and rock bulk material spatiotemporal transport model test frame 1 through the ore and rock bulk material discharge guide rail 2, excavates the ore and rock bulk material, and transports the bucket device 3 to the ore and rock bulk material grading device 4 through the ore and rock bulk material discharge guide rail 2. The ore and rock bulk material grading device 4 is equipped with a screen and a weight sensor, and can move back and forth on the ore and rock bulk material discharge guide rail 2 to screen the bulk material in the bucket device 3 and obtain the mass of ore and rock bulk material of different particle sizes, so as to obtain the block size characteristics of ore and rock bulk material at different excavation stages and calculate the dilution rate.
[0032] The image acquisition device 5 collects two types of information: the overall outline information of the ore and rock mass and the information of the marker particle layer. During the shoveling process of the bucket device 3, the movement of the ore and rock mass exhibits both continuous and discontinuous characteristics. That is, the shoveling process is continuous, but each shoveling operation is discontinuous. Taking the number of shoveling operations of the bucket device 3 as a variable, each shoveling operation and each group of shoveling operations (with a fixed number of shoveling operations per group) sketches the above two types of information. Through image analysis, information such as area and curvature is calculated to achieve an overall description of the ore and rock mass characteristics.
[0033] During the transport process of the bucket device 3, with different transport times (n) as variables, the image acquisition device 5 collects real-time images of the ore and rock mass through the ore and rock mass test frame, draws the overall morphological outline of the ore and rock mass, and delineates different transport stages of the ore and rock mass. Simultaneously, the ore and rock mass marker particles inside the ore and rock mass output the displacement and stress characteristics of the internal ore and rock mass in real time, enabling the realization of the macroscopic and microscopic correspondence characteristics of the ore and rock mass during the transport process. Based on this, the bucket device 3 outputs the gradation characteristics and dilution rate of the ore and rock mass during transport in real time.
[0034] In the processor, the overall variation characteristics of the ore and rock mass are set as S, the force parameter of the ore and rock mass marker particles is set as F, the spatial displacement parameter is set as V, and the gradation and dilution rate parameters of the ore and rock mass include the dilution rate P and the block size parameter N. All of the above parameters are functions of the number of excavations n.
[0035] The overall variation characteristics S of the ore-rock mass, the stress parameter F of the ore-rock mass marker particles, the spatial displacement parameter V, the dilution rate P, and the block size parameter N were all dimensionless. The ore-rock mass migration evaluation index was set as follows: Y ( n ): Y ( n )= a s ( n )+ b [ p ( n )+ g ( n )]+ c [ v ( n )+ f ( n )]; in: ; It describes the process of change from the initial state to the final stable state, gradually approaching a limit value.
[0036] ; The physical meaning is as follows: In the early stage, pure ore is released, P ≈ 0; in the middle stage, waste rock begins to be mixed in, and P rises rapidly; in the later stage, it is almost all waste rock, and P approaches 1 or the maximum waste rock mixing rate.
[0037] ; The physical meaning is: as the number of excavations increases, the internal damage of the rock mass accumulates, making it easier to generate fine particles in subsequent excavations, reflecting the process of rock mass fatigue or damage accumulation.
[0038] ; The physical meaning is as follows: In the initial stage: the particles are in equilibrium and need to overcome a certain frictional or interlocking force to start moving; the initial displacement is very small. ); Flow stage: Once the critical state is exceeded ( The particles begin to flow continuously, and the displacement increases rapidly; in the controlled stage: if boundary constraints are encountered or a stable flow arch is formed, the displacement will tend to saturate. ).
[0039] ; The physical meaning is as follows: In the initial stage of excavation (unloading), the force on the particles is released rapidly (force chain breaks), and F decreases rapidly; as the bulk material is rearranged, a brief force chain reconstruction (small peak value) may occur locally; overall, the stress tends to a certain residual stress value as the number of excavations increases. .
[0040] in, a These are the parameters for fitting the macroscopic curve of the ore-rock granular material. b These are the fitting parameters for the characteristics of ore-rock granules. c These are fitting parameters for the motion characteristics of ore-rock granules. , , , and These are related to the number of excavations. The overall variation characteristic function, dilution rate function, block size parameter function, spatial displacement parameter function, and stress parameter function of the ore-rock granular material; This represents the maximum value corresponding to the overall variation characteristics of the ore-rock mass; This is the initial value corresponding to the block size parameter; This represents the maximum value corresponding to the spatial displacement parameter; This represents the residual stress value. The critical number of excavations; , , , , , , and All are constant coefficients.
[0041] It should be noted here that, , , , , , , and These constant coefficients can be set according to the actual situation, or determined by fitting a set number of experimental data sets.
[0042] The transport process of ore and rock bulk materials is quantitatively evaluated by using macroscopic and internal particle parameters. The ore and rock bulk material transport evaluation index Y specifically characterizes the internal movement and force parameters of the bulk materials during transport, the size and depletion rate of the particles during bucket transport, and the overall transport law of the ore and rock bulk materials. This index allows for a comprehensive evaluation of the overall transport of the bulk materials under different variable conditions in various ore and rock bulk material transport tests. For example, by changing the particle size distribution, layered arrangement, and overlying load in the spatiotemporal transport test of ore and rock bulk materials, the test results can be comprehensively evaluated using the ore and rock bulk material transport evaluation index Y, providing feedback to optimize the blasting and transport design of the mining area. A larger ore and rock bulk material transport evaluation index Y indicates a better transport effect in the ore and rock bulk material transport test, providing guidance for on-site mining area design.
[0043] This embodiment, through the development of spatiotemporal transport experiments of ore and rock bulk materials, can collect the macroscopic contour and movement conditions of ore and rock bulk materials in real time. Combined with the bucket device, it can output the block size characteristics of ore and rock bulk materials in real time, obtain the gradation changes and dilution rate of ore and rock bulk materials, provide bulk material transport and block size data for the efficient transport of metal ore and rock bulk materials, and provide data and model support for the transport design of ore and rock bulk materials.
[0044] In one or more embodiments, a method for evaluating the spatiotemporal transport of ore-rock aggregates is provided, wherein the ore-rock aggregates are modeled using marker particles made of similar materials and sensing elements, and whose mechanical properties are similar to those of the rock mass in the field, simulating pre-set field conditions; the method may include the following steps: Step 1: Obtain images of ore and rock in different transport states and extract the overall contour curves and marker particle contour curves of ore and rock in different transport states. Describe the overall image of the accumulation morphology of ore and rock during transport process, and then obtain the overall change characteristics of ore and rock.
[0045] Let S be the overall variation characteristics of the ore-rock mass. ; Regarding the number of excavations The overall variation characteristic function of ore-rock granules; This represents the maximum value corresponding to the overall variation characteristics of the ore-rock mass; These are constant coefficients, which can be obtained through data fitting.
[0046] Step 2: Real-time acquisition of the force parameters and spatial displacement parameters of each mineral and rock mass marker particle under different transport conditions.
[0047] The force parameter of the ore and rock aggregate marker particles is set as F, and the spatial displacement parameter is set as V; ; ; in, and These are related to the number of excavations. Spatial displacement parameter function and force parameter function.
[0048] This is the initial value corresponding to the block size parameter; This represents the residual stress value. , , , , and All of these are constant coefficients, which can be obtained through data fitting. This represents the critical number of excavations.
[0049] Step 3: Determine the quality parameters of ore and rock by quality calibration of the mined ore body, and use the ore and rock block size module to screen the ore and rock at different particle sizes to obtain the quality distribution of ore and rock at different particle sizes. As the ore and rock are transported, the gradation and dilution rate parameters of ore and rock at different excavation stages are analyzed in real time.
[0050] The gradation and dilution rate parameters of ore-rock granules include the dilution rate P and the block size parameter N; ; ; in, , Regarding the number of excavations The depletion rate function and the block size parameter function. This is the initial value corresponding to the block size parameter; , All of these are constant coefficients, which can be obtained through data fitting. This represents the critical number of excavations.
[0051] Step 4: Based on the overall change characteristics of ore and rock mass, the stress parameters and spatial displacement parameters of the marker particles of ore and rock mass, and the gradation and depletion rate parameters of the mass at different excavation stages, generate a spatiotemporal transport model of ore and rock mass to achieve quantitative and visual analysis of the spatiotemporal transport of ore and rock mass.
[0052] The overall variation characteristics S of the ore-rock mass, the stress parameter F of the ore-rock mass marker particles, the spatial displacement parameter V, the dilution rate P, and the block size parameter N were all dimensionless. The ore-rock mass migration evaluation index was set as follows: Y ( n ): Y ( n )= a s ( n )+ b [ p ( n )+ g ( n )]+ c [ v ( n )+ f ( n )]; in, a These are the parameters for fitting the macroscopic curve of the ore-rock granular material. b These are the fitting parameters for the characteristics of ore-rock granules. c These are the fitting parameters for the motion characteristics of ore and rock granules.
[0053] It should be noted that the order of steps 1, 2, and 3 can be adjusted arbitrarily according to the actual situation.
[0054] In other embodiments, a system for evaluating the spatiotemporal transport of ore and rock bulk materials is provided, comprising: The module for acquiring the overall features of ore and rock bulk is used to acquire images of ore and rock bulk in different transport states and extract the overall contour curves and marker particle contour curves of ore and rock bulk in different transport states. It can then perform an overall image characterization of the accumulation morphology of ore and rock bulk during transport and obtain the overall change features of ore and rock bulk. The ore and rock mass motion characteristic acquisition module is used to acquire the force parameters and spatial displacement parameters of each ore and rock mass marker particle under different transport conditions in real time. The ore and rock bulk size characteristic acquisition module is used to determine the quality parameters of ore and rock bulk by quality calibration of the mined ore body. The bulk size module is used to screen the ore and rock bulk with different particle sizes to obtain the quality distribution of ore and rock bulk with different particle sizes. As the ore and rock bulk is transported, the gradation and dilution rate parameters of ore and rock bulk at different excavation stages are analyzed in real time. The spatiotemporal transport model construction module is used to generate a spatiotemporal transport model of ore and rock based on the overall change characteristics of ore and rock, the stress parameters and spatial displacement parameters of the marker particles of ore and rock, and the gradation and depletion rate parameters of the ore and rock at different excavation stages, so as to realize the quantitative and visual analysis of the spatiotemporal transport of ore and rock.
[0055] It should be noted that each module in the ore and rock bulk spatiotemporal transport evaluation system of the present invention corresponds one-to-one with each step in the ore and rock bulk spatiotemporal transport evaluation method in the above embodiments, and their specific implementation processes are the same, so they will not be repeated here.
[0056] The structure of the electronic device according to embodiments of the present invention will be described in detail below. The electronic device provided in embodiments of the present invention includes: at least one processor, a memory, a user interface, and at least one network interface. The various components in the ore-rock bulk spatiotemporal transport evaluation system are coupled together through a bus system. It can be understood that the bus system is used to realize the connection and communication between these components. In addition to a data bus, the bus system also includes a power bus, a control bus, and a status signal bus. The user interface may include a display, keyboard, mouse, trackball, click wheel, buttons, a touchpad, or a touch screen, etc.
[0057] It is understood that the memory can be volatile memory or non-volatile memory, or both. The memory in this embodiment of the invention is capable of storing data to support the operation of the terminal. Examples of this data include any computer programs used to operate on the terminal, such as operating systems and applications. The operating system includes various system programs, such as the framework layer, core library layer, driver layer, etc., used to implement various basic services and handle hardware-based tasks. Applications can include various applications.
[0058] In some embodiments, the ore and rock bulk material spatiotemporal migration evaluation system provided in this invention can be implemented using a combination of hardware and software. As an example, the ore and rock bulk material spatiotemporal migration evaluation system provided in this invention can be a processor in the form of a hardware decoding processor, which is programmed to execute the ore and rock bulk material spatiotemporal migration evaluation method provided in this invention. For example, the processor in the form of a hardware decoding processor can employ one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.
[0059] As an example, a processor can be an integrated circuit chip with signal processing capabilities, such as a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., where a general-purpose processor can be a microprocessor or any conventional processor, etc.
[0060] As an example of the hardware implementation of the ore and rock bulk material spatiotemporal migration evaluation system provided in this embodiment of the invention, the device provided in this embodiment of the invention can be directly executed by a processor 301 in the form of a hardware decoding processor. For example, it can be executed by one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components to implement the ore and rock bulk material spatiotemporal migration evaluation method provided in this embodiment of the invention.
[0061] The memory in this embodiment of the invention is used to store various types of data to support the operation of the ore-rock bulk space-time migration evaluation system, or to store program code for executing the methods described above. Examples of such data include: any executable instructions for operating on the ore-rock bulk space-time migration evaluation system, such as executable instructions, and the program implementing the ore-rock bulk space-time migration evaluation method of this embodiment of the invention may be included in the executable instructions.
[0062] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods described above. In such embodiments, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable medium. When the computer program is executed by a central processing unit, it performs the various functions defined in the apparatus of this application.
[0063] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0064] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A system for evaluating the spatiotemporal transport of mineral and rock bulk materials, characterized in that, include: Test framework for spatiotemporal transport model of ore and rock bulk materials, bulk material transport device, image acquisition device and processor; The ore-rock bulk material is set within the test framework of the spatiotemporal transport model of the ore-rock bulk material; The bulk transport device is connected to the bottom of the test frame for the spatiotemporal transport model of ore and rock, and is used to transport the ore and rock within the test frame for the spatiotemporal transport model of ore and rock. The quality parameters of the ore and rock are determined by quality calibration of the mined ore body. The ore and rock are screened by different particle sizes using the bulk block size module to obtain the mass distribution of ore and rock with different particle sizes and transmit it to the processor. The image acquisition device is set above the bulk transport device and is used to acquire images of ore and rock in different transport states and extract the overall contour curves and marker particle contour curves of ore and rock in different transport states. It is used to depict the overall image of the accumulation morphology of ore and rock during the transport process, and then obtain the overall change characteristics of ore and rock and transmit them to the processor. The processor is also configured to: Real-time reception of the force parameters and spatial displacement parameters of each mineral and rock aggregate marker particle under different transport conditions; Based on the mass distribution of ore and rock granules with different particle sizes, and compared with the calibrated mass of ore and rock granules, the gradation and dilution rate parameters of ore and rock granules at different excavation stages are obtained in real time as the ore and rock granules are transported. Based on the overall variation characteristics of ore and rock mass, the stress parameters and spatial displacement parameters of the marker particles of ore and rock mass, and the gradation and depletion rate parameters of the mass at different excavation stages, a spatiotemporal transport model of ore and rock mass is generated to achieve quantitative and visual analysis of the spatiotemporal transport of ore and rock mass.
2. The evaluation system for the spatiotemporal transport of ore and rock bulk materials as described in claim 1, characterized in that, The mineral-rock mass is a simulated on-site condition, consisting of similar rock masses made of similar materials and sensing elements, and composed of similar mineral-rock mass marker particles with similar mechanical properties to the on-site rock mass. A visual model is created using a transparent PTFE plate.
3. The evaluation system for the spatiotemporal transport of ore and rock bulk materials as described in claim 1, characterized in that, The bulk material transport device includes a ore and rock bulk material discharge guide rail, a bucket device and an ore and rock bulk material grading device installed on the ore and rock bulk material discharge guide rail; the ore and rock bulk material discharge guide rail is connected to the bottom of the ore and rock bulk material spatiotemporal transport model test frame, the bucket device is used to scoop and transport the ore and rock bulk material; the ore and rock bulk material grading device is used to weigh and screen the ore and rock bulk material in a timely manner.
4. The evaluation system for the spatiotemporal transport of ore and rock bulk materials as described in claim 1, characterized in that, Based on the geological conditions of the ore and rock mass at the site, by adjusting the proportions of cement, sand and water, spatiotemporal transport marker particles for ore and rock mass are prepared so that the basic mechanical parameters of the spatiotemporal transport marker particles are similar to those of the ore and rock mass at the site. During the preparation process, spatial displacement sensors and wireless stress sensors are pre-embedded inside the spatiotemporal transport marker particles, so as to output spatial displacement and force information during the transport of ore and rock mass.
5. The evaluation system for the spatiotemporal transport of ore and rock bulk materials as described in claim 1, characterized in that, Based on the on-site geological conditions and ore extraction design, the gradation of the ore-rock mass was designed to make the gradation of the ore-rock mass used in the test similar to that of the ore-rock mass on site. Subsequently, the graded ore-rock mass was arranged at a set height in the test frame of the ore-rock mass spatiotemporal transport model. During the arrangement process, ore-rock mass spatiotemporal transport marker particles were placed at different heights, and the initial displacement parameters and stress parameters of the ore-rock mass spatiotemporal transport marker particles were calibrated.
6. A method for evaluating the spatiotemporal transport of ore and rock bulk materials, characterized in that, include: Images of ore and rock in different transport states are obtained, and the overall contour curves and marker particle contour curves of ore and rock in different transport states are extracted from them. The overall image characterization of the accumulation morphology of ore and rock during transport is carried out, and the overall change characteristics of ore and rock are obtained. Real-time acquisition of the stress parameters and spatial displacement parameters of each mineral and rock aggregate marker particle under different transport conditions; The quality parameters of ore and rock bulk are determined by quality calibration of the mined ore body. The ore and rock bulk are screened by different particle sizes using the bulk block size module to obtain the quality distribution of ore and rock bulk with different particle sizes. The quality is compared with the calibrated ore and rock bulk. As the ore and rock bulk is transported, the gradation and dilution rate parameters of ore and rock bulk at different excavation stages are analyzed in real time. Based on the overall variation characteristics of ore and rock mass, the stress parameters and spatial displacement parameters of the marker particles of ore and rock mass, and the gradation and depletion rate parameters of the mass at different excavation stages, a spatiotemporal transport model of ore and rock mass is generated to achieve quantitative and visual analysis of the spatiotemporal transport of ore and rock mass.
7. The test system for the spatiotemporal transport of ore and rock bulk materials as described in claim 6, characterized in that, The overall variation characteristics of the ore-rock mass are set as S, the stress parameter of the ore-rock mass marker particles is set as F, the spatial displacement parameter is set as V, and the gradation and dilution rate parameters of the ore-rock mass include the dilution rate P and the block size parameter N. All of the above parameters are functions of the number of excavations n.
8. The test system for the spatiotemporal transport of ore and rock bulk materials as described in claim 7, characterized in that, The overall variation characteristics S of the ore-rock mass, the stress parameter F of the ore-rock mass marker particles, the spatial displacement parameter V, the dilution rate P, and the block size parameter N were all dimensionless. The ore-rock mass migration evaluation index was set as follows: Y ( n ): Y ( n )= a s ( n )+ b [ p ( n )+ g ( n )]+ c [ v ( n )+ f ( n )]; ; ; ; ; ; in, a These are the parameters for fitting the macroscopic curve of the ore-rock granular material. b These are the fitting parameters for the characteristics of ore-rock granules. c These are fitting parameters for the motion characteristics of ore-rock granular materials; , , , and These are related to the number of excavations. The overall variation characteristic function, dilution rate function, block size parameter function, spatial displacement parameter function, and stress parameter function of the ore and rock granular material; This represents the maximum value corresponding to the overall variation characteristics of the ore-rock mass; This is the initial value corresponding to the block size parameter; This represents the maximum value corresponding to the spatial displacement parameter; This represents the residual stress value. The critical number of excavations; , , , , , , and All are constant coefficients.
9. A system for evaluating the spatiotemporal transport of mineral and rock bulk materials, characterized in that, The method for evaluating the spatiotemporal transport of ore and rock granules based on any one of claims 6-8 includes: The module for acquiring the overall features of ore and rock bulk is used to acquire images of ore and rock bulk in different transport states and extract the overall contour curves and marker particle contour curves of ore and rock bulk in different transport states. It can then perform an overall image characterization of the accumulation morphology of ore and rock bulk during transport and obtain the overall change features of ore and rock bulk. The ore and rock mass motion characteristic acquisition module is used to acquire the force parameters and spatial displacement parameters of each ore and rock mass marker particle under different transport conditions in real time. The ore and rock bulk size characteristic acquisition module is used to determine the quality parameters of ore and rock bulk by quality calibration of the mined ore body. The bulk size module is used to screen the ore and rock bulk with different particle sizes to obtain the quality distribution of ore and rock bulk with different particle sizes, and compare it with the calibrated ore and rock bulk quality. As the ore and rock bulk is transported, the gradation and dilution rate parameters of ore and rock bulk at different excavation stages are analyzed in real time. The spatiotemporal transport model construction module is used to generate a spatiotemporal transport model of ore and rock based on the overall change characteristics of ore and rock, the stress parameters and spatial displacement parameters of the marker particles of ore and rock, and the gradation and depletion rate parameters of the ore and rock at different excavation stages, so as to realize the quantitative and visual analysis of the spatiotemporal transport of ore and rock.
10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the evaluation method for the spatiotemporal transport of ore and rock granules as described in any one of claims 6-8.