Intelligent planning method and system for recent mining of open gravel mine

Abstract

The invention relates to an intelligent planning method and system for recent mining of an open gravel mine. The method comprises the following steps: acquiring geological data of the gravel mine; formulating a medium and long term mining plan of the gravel mine; constructing an ore body entity model based on the gravel mine geological data and the medium and long term mining plan; constructing an ore body unit body model on the basis of the ore body entity model; setting an ore body unit ID for each ore body unit in the ore body unit model to obtain an ore body unit attribute file; based on the ore body unit attribute file, determining the mining mode of the open sand mine; constructing a recent planning optimization model of the open gravel mine; and calculating the optimal mining path of the open-pit sand-gravel mine by using the recent planning optimization model of the open-pit sand-gravel mine. Through the method and the device, the problems that the mining cost is increased and the efficiency is reduced due to the fact that the mining sequence cannot be flexibly changed due to no recent intelligent planning in related technologies are solved.

Description

Technical Field

[0001] The invention relates to the technical field of digital open-pit sand and gravel mines, and in particular to a method and system for intelligent planning of recent mining of open-pit sand and gravel mines. Background Art

[0002] The sand and gravel industry is currently in the stage of large-scale and industrialized development. In open-pit mining projects, the rationality of mining planning directly affects the success or failure of the project and its economic benefits. If the planning is unreasonable, it will affect the mining and stripping relationship technically, cause economic losses, and cause waste in resource utilization. The conditions of the ore deposits underground are diverse, and different mining sequences and stripping amounts will lead to different rates of return on investment, thus affecting the overall economic benefits of the open-pit sand and gravel mines. Therefore, it is particularly important to determine a technically feasible ore and rock stripping plan that can maximize the overall economic benefits of the ore deposit mining and run through the entire open-pit sand and gravel mining cycle.

[0003] At present, the research on open-pit mining planning focuses on medium- and long-term mining planning. However, when formulating medium- and long-term mining plans, it is necessary to predict future market changes, which involves great uncertainty. If the market environment changes significantly, the original plan may need to be significantly adjusted due to the lack of short-term intelligent planning. The mining sequence cannot be flexibly changed, which in turn leads to problems with increased mining costs and efficiency. Summary of the invention

[0004] The present invention provides an open-pit sand and gravel mine near-term mining intelligent planning method and system, which solves the problem in the related art that the mining sequence cannot be flexibly changed due to the lack of near-term intelligent planning, thereby leading to increased mining costs and reduced mining efficiency.

[0005] One aspect of the present invention provides an intelligent planning method for the short-term mining of an open-pit sand and gravel mine, including: obtaining geological data of the open-pit sand and gravel mine; formulating a medium- and long-term mining plan for the open-pit sand and gravel mine; constructing an ore body entity model based on the geological data of the open-pit sand and gravel mine and the medium- and long-term mining plan; constructing an ore body unit model based on the ore body entity model; setting an ore body unit ID for each ore body unit in the ore body unit model, and obtaining an ore body unit attribute file; determining the mining method of the open-pit sand and gravel mine based on the ore body unit attribute file; constructing an open-pit sand and gravel mine short-term planning optimization model; using the open-pit sand and gravel mine short-term planning optimization model to calculate the optimal mining path of the open-pit sand and gravel mine, and save it in the ore body unit attribute file.

[0006] The present invention provides an intelligent planning method for the short-term mining of an open-pit sand and gravel mine. Based on the medium- and long-term mining sequence, and when the mining sequence has been planned, the mining sequence within a period of time can be changed at any time as needed, thereby reducing the mining cost and improving the mining efficiency.

[0007] Optionally, obtaining geological data of an open-pit sand and gravel mine includes: obtaining geological drilling data about the open-pit sand and gravel mine; obtaining geological profile data about the open-pit sand and gravel mine; obtaining a boundary map of the open-pit sand and gravel mine; obtaining a topographic map of the open-pit sand and gravel mine; and obtaining technical and economic indicators of the open-pit sand and gravel mine.

[0008] Before mining, obtaining various information about the open-pit sand and gravel mine will help to better grasp the specific information of the open-pit sand and gravel mine and provide reliable data for subsequent mining operations.

[0009] Optionally, constructing an ore body entity model based on the open-pit gravel mine geological data and the medium- and long-term mining plan includes: creating a drilling database based on the geological drilling data; and delineating the ore body by combining the drilling database with the geological profile data to obtain the ore body entity model.

[0010] By assigning the engineering information, geological information and ore body information of the open-pit gravel mine to the ore body entity model, the open-pit gravel mine is digitized into an ore body entity model.

[0011] Optionally, constructing an ore body unit model based on the ore body entity model includes: generating a final boundary model using the boundary map; generating a final surface model using the topographic map; and setting the size of the ore body unit according to the ore body entity model, taking the final boundary model and the final surface model as constraints to obtain the ore body unit model.

[0012] To construct a unit model, you need to first construct a cuboid that just wraps around the ore body unit model. Through constraints, you can remove the parts outside the ore body unit model so that the remaining unit model just matches the ore body model. Divide the ore body unit model into small units, such as Figure 2 As shown, the ore body model is broken down into small units to facilitate mining planning.

[0013] Optionally, setting an ore body unit ID for each ore body unit in the ore body unit model, and obtaining an ore body unit attribute file includes: according to the ore body unit model, setting an x-axis and a y-axis with the bottom plane of the open-pit sand and gravel mine, and setting a z-axis with the bottom of the open-pit sand and gravel mine toward the top of the open-pit sand and gravel mine; extracting the centroid of each ore body unit; setting an x-coordinate, a y-coordinate and a z-coordinate for each centroid, wherein the z-coordinate gradually increases in the direction approaching the top of the open-pit sand and gravel mine; on the z-axis, dividing the ore body entity model into multiple layers according to the size of the ore body unit; setting a first ore body unit ID in order from large to small according to the coordinate value of each ore body unit on the z-axis; for the ore body units in the same layer and with the same sum of the x-coordinate and the y-coordinate of the centroid, setting a second ore body unit ID in order from small to large according to the coordinate on the x-axis; and obtaining the ore body unit attribute file according to the first ore body unit ID and the second ore body unit ID.

[0014] Extract the centroid of the unit body and abstract the centroid as the entire unit body, so that the coordinates of the unit body in space become simple and clear, which is convenient for recording and extracting the coordinates of the unit body. Set an ID for each unit body so that a one-to-one correspondence is formed between the unit body ID and the unit body, that is, the unit body ID in the ore body unit attribute file can be used to extract the information of any unit body corresponding to the unit body ID.

[0015] Optionally, determining the mining method of an open-pit sand and gravel mine based on the ore body unit attribute file includes: extracting the maximum value of the z coordinate in the unmined ore body unit according to the ore body unit attribute file; and mining the ore body units in the ore body units of the same layer as the maximum value in sequence according to the order in which the ore body unit IDs are set.

[0016] According to the mining method in the above steps, a direction can be specified for mining, making mining orderly and easy to manage.

[0017] Optionally, constructing a short-term planning optimization model for an open-pit sand and gravel mine includes: constructing an objective function with monthly production profit balance as the goal; under the mining mode of the open-pit sand and gravel mine, constructing constraint conditions with mining capacity as the constraint; combining the objective function with monthly production profit balance as the goal and the constraint conditions with mining capacity as the constraint into the short-term planning optimization model for the open-pit sand and gravel mine.

[0018] In the process of open-pit sand and gravel mining, on the basis of ensuring that the mining process can achieve maximum profit, the production efficiency and profit of each month are balanced as much as possible, so that the profit difference between each month in the entire mining cycle is small, which can effectively avoid economic losses or operational risks caused by production fluctuations in mining companies.

[0019] Optionally, the short-term planning optimization model of the open-pit sand and gravel mine satisfies the following formula: In the formula, is the monthly production profit, is the total number of ore body units, n is the nth ore body unit, The mining month. For the The ore volume of each ore body unit, is the sand and gravel recovery rate, is the waste rock mixing rate, is the unit cost of quarrying, For the The rock volume of each ore body unit, To strip out unit costs, is the discount rate, For the mining month The judgment factor of whether the nth ore body unit is mined, The lower limit of monthly sand and gravel mining capacity. is the total amount mined in a certain month, The monthly sand and gravel mining capacity limit, is the amount of sand and gravel mined in month t.

[0020] The formula structure of the short-term planning optimization model for open-pit sand and gravel mines is simple and easy to calculate.

[0021] Optionally, using the open-pit sand and gravel mine short-term planning optimization model to calculate the optimal mining path of the open-pit sand and gravel mine and saving it to the ore body unit attribute file includes: solving the open-pit sand and gravel mine short-term planning optimization model to obtain the optimal mining path data of the open-pit sand and gravel mine, and the optimal mining path data of the open-pit sand and gravel mine includes the mining month; setting the mining month as the attribute of the ore body unit and saving it to the ore body unit attribute file.

[0022] The optimal mining path obtained by solving is actually to calculate the mining month of the unit, and save the mining month into the unit attribute file through the unit ID. When mining, the local mining order can be changed according to the mining month, so as to achieve the purpose of flexibly responding to market changes.

[0023] Another aspect of the present invention provides an open-pit sand and gravel mine near-term mining intelligent planning system, comprising: a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method steps of the open-pit sand and gravel mine near-term mining intelligent planning method described in the first aspect of the present invention.

[0024] The intelligent planning system for the near-term mining of an open-pit sand and gravel mine of the present invention has a compact structure, stable performance, high integration and simple composition. It can stably execute the intelligent planning method for the near-term mining of an open-pit sand and gravel mine provided by the first aspect of the present invention, further improving the overall applicability and practical application capabilities of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of an intelligent planning method for recent mining of an open-pit sand and gravel mine according to an embodiment of the present invention; Figure 2 It is an ore body unit model of the open-pit sand and gravel mine near-term mining intelligent planning method according to an embodiment of the present invention; Figure 3 The invention discloses a method for setting the ID of an ore body unit in the intelligent planning method for recent mining of an open-pit gravel mine according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0027] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

[0029] In one embodiment of the present invention, a method for intelligent planning of short-term mining in an open-pit sandstone mine is provided. It should be noted that, Figure 1 As shown, the steps of the flowchart representing the method can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be performed in an order different from that herein.

[0030] Figure 1 is a flow chart of an intelligent planning method for recent mining of an open-pit sand and gravel mine according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps: Step S1, obtaining geological data of an open-pit gravel mine.

[0031] Among them, obtaining geological data of open-pit sand and gravel mines specifically includes the following sub-steps: Step S101, obtaining geological drilling data about the open-pit gravel mine.

[0032] In this embodiment, the geological drilling data is obtained by, but not limited to, obtaining it from on-site survey records.

[0033] The instruments used in obtaining geological drilling data about the open-pit gravel mine include but are not limited to drilling rigs. In this embodiment, the drilling rig drives the drill bit to break the rock at the bottom of the hole, and the drill bit is lowered or pulled out of the hole to explore the underground geology and mineral resources. According to the explored situation, it is necessary to record the coordinates of the hole mouth, drilling depth, drilling sampling length and sampling test results. The advantage of this method is that drilling with a drilling rig is more efficient.

[0034] Step S102, obtaining geological profile data about the open-pit gravel mine.

[0035] In this embodiment, the geological profile data is obtained by methods including but not limited to obtaining the data from on-site survey records.

[0036] The instruments used to obtain the geological profile data of the open-pit sand and gravel mine include but are not limited to shallow layer profilers. In this embodiment, the shallow layer profiler sends sound waves, which will reflect and transmit with different intensities when encountering different media (such as water, sediments, rocks, etc.). The instrument records the return time and signal intensity of these reflected waves, and can draw a continuous spectrum to form a "waterfall-like" profile. The advantages of this method are convenient operation, low cost, high efficiency and high detection resolution.

[0037] Step S103, obtaining a boundary map of the open-pit gravel mine.

[0038] In this embodiment, the boundary map of an open-pit gravel mine refers to a graphic used to represent the boundary of the open-pit gravel mine area. The representation method of the boundary map includes using different dot and line symbols to represent boundaries of different levels. The shape of the boundary line should be accurately drawn according to the actual location. The turning points or intersections should be drawn with dots or solid lines to ensure the accurate positioning of the boundaries. In this embodiment, the boundary map includes but is not limited to being obtained in a computer-aided design CAD environment. The advantage of this method is that the CAD graphic boundaries can be set in CAD. By setting the graphic boundaries, the view space can be better managed, the drawing efficiency can be improved, and the printing range can be controlled to ensure that only the graphics within the specified range are output.

[0039] Step S104, obtaining a topographic map of the open-pit gravel mine.

[0040] In this embodiment, the topographic map of the open-pit gravel mine refers to a map obtained by horizontally projecting the open-pit gravel mine and reducing it to a certain scale and drawing it on a drawing paper. This map can depict the ups and downs of the open-pit gravel mine in detail.

[0041] The method of obtaining the topographic map includes but is not limited to obtaining it in a computer-aided design (CAD) environment. In this embodiment, the topographic map is produced using CAD. This method is easy to operate and has high efficiency.

[0042] Step S105, obtaining technical and economic indicators of the open-pit gravel mine.

[0043] In this embodiment, the method of obtaining technical and economic indicators requires comprehensive market prices, mining capacity of mining companies, geological exploration and other data. The advantage of this method is that the technical and economic indicator information is accurate.

[0044] Step S2, formulating a medium- and long-term mining plan for the open-pit sand and gravel mine.

[0045] In this embodiment, factors such as development scope, market environment, geological conditions, company mining capacity and road transportation are mainly considered when formulating the medium- and long-term mining plan.

[0046] Step S3, constructing an ore body entity model based on the open-pit sand and gravel mine geological data and the medium- and long-term mining plan.

[0047] Among them, constructing an ore body entity model based on the open-pit sand and gravel mine geological data and the medium- and long-term mining plan includes the following sub-steps: Step S301, creating a drilling database according to the geological drilling data.

[0048] In this embodiment, the drilling data includes information such as hole coordinates, drilling depth, drilling sampling length, and sampling test results. The drilling data represents the composition of the open-pit gravel mine at various locations, and the corresponding drilling database represents the composition and distribution of the open-pit gravel mine.

[0049] Step S302, combining the drilling database with the geological profile data to delineate the ore body to obtain the ore body entity model.

[0050] In this embodiment, the geological profile data can be used to create the outline of the ore body, and then the data in the drilling database is implanted into the outline to obtain the ore body entity model. This method forms a one-to-one correspondence between the ore body entity model and the open-pit gravel mine, realizing the digitization of the open-pit gravel mine.

[0051] Step S4, constructing an ore body unit model based on the ore body entity model.

[0052] Wherein, constructing the ore body unit model based on the ore body entity model specifically includes the following sub-steps: Step S401, generating a final realm model using the realm diagram.

[0053] In this embodiment, the final realm model is obtained by converting the realm drawing of the line file into a surface file in the CAD software. There are many CAD software that can convert line files into surface files, such as AutoCAD, CAXA CAD and Crown CAD, etc.

[0054] Step S402: Generate a final surface model using the topographic map.

[0055] In this embodiment, the coordinate and elevation data in the topographic map are exported, the elevation data is gridded, the surface data is established, and the final surface model is generated by importing the numerical simulation software.

[0056] Step S403, according to the ore body entity model, taking the final boundary model and the final surface model as constraints, setting the size of the ore body unit body to obtain the ore body unit body model.

[0057] In this embodiment, the constructed ore body unit model is a large rectangular parallelepiped that can just wrap around the ore body entity model. The unit model is removed outside the ore body entity model with the final surface model and the final boundary model as constraints, and the ore body unit model is obtained to just match the ore body entity model. The ore body unit model is then refined into small units according to the size of the unit.

[0058] In step S403, the dimensions of the unit body include: 5m in height, 10m in width and 20m in length. In this embodiment, the dimensions of the unit body are set, and the unit body model obtained is as follows: Figure 2 shown.

[0059] The size of the unit body can also be set to other sizes. The size of the unit body depends on the type, scale and mining method of the ore body. It can be flexibly selected according to actual conditions.

[0060] Step S5, setting an ore body unit ID for each ore body unit in the ore body unit model, and obtaining an ore body unit attribute file.

[0061] The process of setting an ore body unit ID for each ore body unit in the ore body unit model and obtaining an ore body unit property file specifically includes the following sub-steps: Step S501, according to the ore body unit model, an x-axis and a y-axis are set on the bottom plane of the open-pit gravel mine, and a z-axis is set from the bottom of the open-pit gravel mine to the top of the open-pit gravel mine.

[0062] In this embodiment, by establishing a spatial coordinate system, the purpose of describing the position of any unit body in space is achieved.

[0063] Step S502: extracting the centroid of each ore body unit.

[0064] In this embodiment, the center of mass is the abbreviation of the mass center, which refers to an imaginary point on a material system where the mass is considered to be concentrated. The geometric center of the unit body is regarded as the center of mass, and the center of mass has all the properties of the unit body, that is, the position of the unit body in the space coordinate is replaced by the center of mass, which is convenient for expressing and recording the coordinates of the unit body.

[0065] Step S503: setting an x-coordinate, a y-coordinate and a z-coordinate for each of the mass centers, wherein the z-coordinate gradually increases in a direction approaching the top of the open-pit gravel mine.

[0066] In this embodiment, the orientation of the ore body entity model in space is indicated by the larger the z coordinate is, the closer it is to the top of the mine. After the orientation is determined, the coordinates of the centroid are set. This method of setting the coordinates is simple and clear.

[0067] Step S504: on the z-axis, the ore body entity model is divided into a plurality of layers according to the unit size of the ore body.

[0068] In this embodiment, the ore body unit model is divided into multiple layers according to the height of the unit in the z-axis direction. Compared with the prior art, the above method makes the ore body unit model have a clear structure and distinct layers.

[0069] The layering method of the ore body entity model is not unique. According to the actual needs, the ore body unit model can also be divided into multiple layers according to the height of the unit in the x-axis or y-axis direction.

[0070] Step S505, setting the first ore body unit ID in order from large to small according to the coordinate value of each ore body unit on the z-axis.

[0071] In this embodiment, the unit body ID is set from the top of the open-pit gravel mine corresponding to the ore body unit body model downward layer by layer, ensuring that the layer above each layer has been set, and the method has clear logic.

[0072] Step S506, for the ore body units in the same layer and with the same sum of the x-coordinate and the y-coordinate of the centroid, set the second ore body unit ID in order from small to large coordinates on the x-axis, such as Figure 3 shown.

[0073] In this embodiment, within the same layer, the ore body unit ID is as follows: Figure 3 There are many ways to set up the ore body unit, and you can also set it up as shown in the following example. Figure 3 The method shown can be set in the opposite way, and the outer layer can also be set toward the center of the inner layer. It can be flexibly selected according to actual conditions.

[0074] Step S507: obtaining the ore body unit attribute file according to the first ore body unit ID and the second ore body unit ID.

[0075] In this embodiment, the unit bodies on the top layer of the open-pit gravel mine are first set, and IDs are set in sequence according to the coordinate values ​​on the x-axis from small to large and the sum of the x-coordinate and y-coordinate of the unit body, and then they are set down layer by layer. When setting, it is necessary to ensure that there are no unit bodies without IDs set above the unit bodies with set IDs. Finally, the set unit IDs and their corresponding data are saved in the ore body unit attribute file in order.

[0076] Step S6, determining the mining method of the open-pit gravel mine based on the ore body unit attribute file.

[0077] Wherein, determining the mining method of the open-pit sand and gravel mine based on the ore body unit attribute file specifically includes the following sub-steps: Step S601: extracting the maximum value of the z coordinate in the unmined ore body unit according to the ore body unit attribute file.

[0078] In this embodiment, the unit layer that has not been mined or has not been fully mined is first found, and when it comes to actual mining, it is necessary to ensure that the open-pit gravel mine on the same layer is fully mined before mining the next layer of open-pit gravel mine. Compared with the prior art, this method is more rigorous.

[0079] Step S602: in the ore body units in the same layer as the maximum value, the ore body units are mined in sequence according to the sequence of the ore body unit IDs.

[0080] In this embodiment, the order of mining the open-pit gravel mine is pre-set, that is, mining is carried out according to the ID order of the ore body unit attribute file. This method is more convenient for managing mining behavior during the actual mining process.

[0081] Step S7, constructing a short-term planning optimization model for an open-pit sand and gravel mine.

[0082] Among them, the construction of the short-term planning optimization model of open-pit sand and gravel mines specifically includes the following sub-steps: Step S701, constructing an objective function with monthly production profit balance as the goal.

[0083] In this embodiment, monthly production profit refers to the process of open-pit sand and gravel mining, on the basis of ensuring that the mining process can achieve maximum profit, balancing the production efficiency and profit of each month as much as possible, so that the profit difference between each month in the entire mining cycle is small, which can effectively avoid economic losses or operational risks caused by production fluctuations for mining companies, and thus construct the objective function.

[0084] The objective function includes but is not limited to an objective function with the goal of balancing monthly production profits. It can also be a function built with other purposes as the goal, such as a function built with the goal of monthly production efficiency, or an objective function built with the goal of maximizing monthly production profits. It can be flexibly selected according to actual conditions.

[0085] Step S702, under the mining mode of the open-pit gravel mine, constructing a constraint condition with mining capacity as a constraint.

[0086] In this embodiment, mining capacity refers to the amount of ore that a mining enterprise can mine in a unit of time. All planning made by the enterprise must take into account its own mining capacity. If the planning made exceeds its own mining capacity, then all planning will become meaningless.

[0087] Constraints include but are not limited to mining capacity. Constraints may also be other factors that may affect mining.

[0088] Step S703, combining the objective function with the monthly production profit balance as the goal and the constraint condition with the mining capacity as the constraint into the short-term planning optimization model of the open-pit sand and gravel mine.

[0089] In this embodiment, the short-term planning optimization model is constructed by taking the mining capacity of the mining enterprise as the limiting condition of the objective function with the monthly production profit balance as the goal, so that the short-term planning optimization model is more in line with reality. Because if there is no constraint of the limiting condition, then the result obtained by solving the objective function with the monthly production profit balance as the goal is only an ideal result and has no practical significance.

[0090] In step S703, the short-term planning optimization model satisfies the following formula: In the formula, is the monthly production profit, is the total number of ore body units, n is the nth ore body unit, The mining month. For the The ore volume of each ore body unit, is the sand and gravel recovery rate, is the waste rock mixing rate, is the unit cost of quarrying, For the The rock volume of each ore body unit, To strip out unit costs, is the discount rate, For the mining month The judgment factor of whether the nth ore body unit is mined, The lower limit of monthly sand and gravel mining capacity. is the total amount mined in a certain month, The monthly sand and gravel mining capacity limit, is the amount of sand and gravel mined in month t.

[0091] Step S8, using the short-term planning optimization model of the open-pit sand and gravel mine to calculate the optimal mining path of the open-pit sand and gravel mine, and save it in the ore body unit attribute file.

[0092] The method of calculating the optimal mining path of the open-pit sand and gravel mine by using the short-term planning optimization model of the open-pit sand and gravel mine and saving it in the ore body unit attribute file specifically includes the following sub-steps: Step S801, solving the short-term planning optimization model of the open-pit sand and gravel mine to obtain the optimal mining path data of the open-pit sand and gravel mine, wherein the optimal mining path data of the open-pit sand and gravel mine includes the mining month.

[0093] In this embodiment, the optimal mining path data refers to a set of data including but not limited to unit body ID and mining month. Through this set of data, all unit body IDs that need to be mined in a certain month can be obtained. Compared with the mining sequence that has been determined in the prior art, the local arrangement order can be changed under the restriction of the mining month.

[0094] Step S802, setting the mining month as the attribute of the ore body unit and saving it in the ore body unit attribute file.

[0095] In this embodiment, the newly obtained ore body unit attribute file contains the mining month. In the actual mining process, mining is first performed according to the month, and in the same month, mining is performed according to the ID sequence of the ore body units.

[0096] In step S801 of step S8, solving the short-term planning optimization model of the open-pit sand and gravel mine specifically includes the following sub-steps: Step S80101, introduce a multi-stage neighborhood search strategy: Multi-stage neighborhood search can enhance the global and local search capabilities of the algorithm, thereby better coping with the complexity of the objective function and constraints. This strategy applies different neighborhood search methods in different search stages to balance global search and local fine search.

[0097] The balancing of global search and local fine search specifically includes the following sub-steps: Step S8010101, global search.

[0098] In order to avoid falling into the local optimum at the beginning of the algorithm, a larger search step size is used. The initial search is performed using the following formula: in, For the Dung beetle individuals in the The position of the generation time indicates the current solution (unit mining time , Number of units ); For the Dung beetle individuals in the The position of the generation; For the global optimal solution found during the entire search process, record the optimal individual position in the entire population; The weight parameter to control the current individual to approach the local optimal solution; To control the neighborhood search intensity of individual random search, the value is [0.3, 0.5]; rand is a random number used to guide the individual to perform random search, and its value range is [-1, 1].

[0099] Step S8010102, balance search.

[0100] In the middle iteration, the algorithm gradually reduces the step size, increases the frequency of local exploration, balances the global and local search capabilities, and satisfies the following formula: in, is the local optimal solution of the dung beetle individual, is the position of its neighbor individuals.

[0101] Step S8010103, local fine search.

[0102] In the later stages of the algorithm, the step size is further reduced, focusing on fine-tuning the local optimal solution to improve the convergence speed and accuracy, satisfying the following formula: It is a smaller step size parameter in local search, which helps to refine the optimal solution in the later stage of search. The value range is [0.01, 0.1].

[0103] Step S80102, refer to the dynamic adjustment strategy.

[0104] Adjust the search step size and mutation operation to balance global and local search capabilities.

[0105] Step size adjustment: In the initial stage, the step size is large to promote global search, and then gradually reduced to enhance the accuracy of local search. The specific adjustment satisfies the following formula: in, For the The step size during iteration is in the range of [0.5, 1]; is the initial step length, usually set to 1; is a parameter that controls the rate at which the step size decays.

[0106] Dynamic adjustment of mutation operation: To prevent the algorithm from falling into local optimality, individuals can be randomly mutated in certain iterations to perturb the current solution of the individual to satisfy the following formula: in, is the mutation intensity parameter, which controls the amplitude of the mutation operation to reduce the disturbance of the solution and maintain the stability of the local search. As the number of iterations increases, the mutation intensity gradually decreases; Δ is the random disturbance in the current search area, which is used to disturb the current position of the individual.

[0107] Step S80103, introducing the penalty function method.

[0108] Since the mining sequence, mining method and mining capacity constraints are very important constraints in the short-term mining planning problem of open-pit gravel mines in this patent, it is necessary to add an effective constraint processing mechanism to the dung beetle optimization algorithm. When the individual solution does not meet the constraints such as the mining sequence or mining capacity of the open-pit gravel mine, the penalty function can be used to reduce its fitness.

[0109] The penalty function satisfies the following formula: in, is the fitness value including the penalty term; is the original fitness value, that is, the output value of the objective function; is the penalty coefficient, which controls the degree of penalty imposed on solutions that violate the constraints. Usually, the penalty coefficient is large to ensure that solutions that violate the constraints are significantly reduced in the overall fitness evaluation. The value range is [10,100]; It indicates the degree of violation of the constraint conditions. If a mining plan violates the mining constraints of the ore body, a larger penalty will be imposed on the solution, thereby guiding the individual to gradually correct its solution.

[0110] In another embodiment of the present invention, there is also provided an intelligent planning system for the near-term mining of an open-pit sand and gravel mine, the system comprising: a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is used to store a computer program, the computer program comprising program instructions, the processor being configured to call the program instructions and execute the intelligent planning method for the near-term mining of an open-pit sand and gravel mine described in any one of steps S1 to S8 above.

[0111] In this embodiment, each functional component can be integrated into one processing component, or each component can exist physically separately, or two or more components can be integrated into one component. The above integrated components can be implemented in the form of hardware or software functions.

Claims

1. An intelligent planning method for short-term mining in an open-pit sand and gravel mine, characterized in that: include: Obtain geological data of open-pit sand and gravel mines; Formulate a medium- and long-term mining plan for the open-pit sand and gravel mine; Constructing an ore body entity model based on the open-pit sand and gravel mine geological data and the medium- and long-term mining plan; Constructing an ore body unit model based on the ore body entity model; Setting an ore body unit ID for each ore body unit in the ore body unit model, and obtaining an ore body unit property file; Determining the mining method of the open-pit sand and gravel mine based on the ore body unit attribute file; Construct a short-term planning optimization model for open-pit sand and gravel mines; The open-pit sand and gravel mine short-term planning optimization model is used to calculate the optimal mining path of the open-pit sand and gravel mine and save it in the ore body unit attribute file.

2. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 1 is characterized in that: The acquisition of open-pit sand and gravel mine geological data includes: Obtaining geological drilling data on the open-pit sand and gravel mine; Obtaining geological profile information about the open-pit sand and gravel mine; Obtaining a boundary map of the open-pit sand and gravel mine; Obtaining a topographic map of the open-pit sand and gravel mine; Obtain technical and economic indicators about the open-pit sand and gravel mine.

3. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 2 is characterized in that: The construction of the ore body entity model based on the open-pit sand and gravel mine geological data and the medium- and long-term mining plan includes: Creating a drilling database based on the geological drilling data; The ore body is delineated by combining the drilling database with the geological profile data to obtain the ore body entity model.

4. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 3 is characterized in that: The constructing of the ore body unit model based on the ore body entity model comprises: generating a final realm model using the realm diagram; generating a final surface model using the topographic map; According to the ore body entity model, the final boundary model and the final surface model are used as constraint conditions, and the size of the ore body unit body is set to obtain the ore body unit body model.

5. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 4 is characterized in that: The step of setting an ore body unit ID for each ore body unit in the ore body unit model and obtaining an ore body unit property file comprises: According to the ore body unit model, an x-axis and a y-axis are set with the bottom plane of the open-pit sand and gravel mine, and a z-axis is set from the bottom of the open-pit sand and gravel mine to the top of the open-pit sand and gravel mine; Extracting the centroid of each ore body unit; Setting an x-coordinate, a y-coordinate and a z-coordinate for each of the mass centers, wherein the z-coordinate gradually increases in a direction approaching the top of the open-pit gravel mine; On the z-axis, the ore body entity model is divided into a plurality of layers according to the unit size of the ore body; According to the coordinate value of each ore body unit on the z-axis, the first ore body unit ID is set in order from large to small; For the ore body units in the same layer and with the same sum of the x-coordinate and the y-coordinate of the centroid, the second ore body unit IDs are sequentially set in the order of the coordinates on the x-axis from small to large; The ore body unit attribute file is obtained according to the first ore body unit ID and the second ore body unit ID.

6. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 5 is characterized in that: The method of determining the mining method of the open-pit sand and gravel mine based on the ore body unit attribute file includes: Extracting the maximum value of the z coordinate in the unmined ore body unit according to the ore body unit attribute file; In the ore body unit bodies in the same layer as the maximum value, the ore body unit bodies are mined in sequence according to the sequence in which the ore body unit body IDs are set.

7. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 6 is characterized in that: The construction of the short-term planning optimization model for open-pit sand and gravel mines includes: Construct an objective function with the goal of balancing monthly production profits; Under the mining mode of the open-pit sand and gravel mine, a constraint condition based on the mining capacity is constructed; The objective function with monthly production profit balance as the goal and the constraint condition with mining capacity as the constraint are combined into the short-term planning optimization model of the open-pit sand and gravel mine.

8. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 7 is characterized in that: The short-term planning optimization model of the open-pit sand and gravel mine satisfies the following formula: In the formula, is the monthly production profit, is the total number of ore body units, n is the nth ore body unit, The mining month. For the The ore volume of each ore body unit, is the sand and gravel recovery rate, is the waste rock mixing rate, is the unit cost of quarrying, For the The rock volume of each ore body unit, To strip out unit costs, is the discount rate, For the mining month The judgment factor of whether the nth ore body unit is mined, The lower limit of monthly sand and gravel mining capacity. is the total amount mined in a certain month, The monthly sand and gravel mining capacity limit, is the amount of sand and gravel mined in month t.

9. The method for intelligent planning of short-term mining in an open-pit sand and gravel mine according to claim 8 is characterized in that: The method of calculating the optimal mining path of the open-pit sand and gravel mine by using the short-term planning optimization model of the open-pit sand and gravel mine and saving it in the ore body unit attribute file includes: Solving the short-term planning optimization model of the open-pit sand and gravel mine to obtain the optimal mining path data of the open-pit sand and gravel mine, wherein the optimal mining path data of the open-pit sand and gravel mine includes the mining month; The mining month is set as the attribute of the ore body unit and saved in the ore body unit attribute file.

10. An open-pit sand and gravel mine near-term mining intelligent planning system, characterized in that: include: A processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the intelligent planning method for short-term mining of an open-pit sand and gravel mine as described in any one of claims 1 to 9.

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