Method, device and equipment for open-pit mine stage boundary optimization and storage medium

Abstract

The application discloses a method, device and equipment for optimizing a stage boundary of an open-pit mine and a storage medium. The method comprises the following steps: obtaining attribute information of nested boundaries of the open-pit mine, wherein each nested boundary is a boundary in a nested structure determined based on economic parameters of mining of the open-pit mine, and the NPV of a boundary located in an inner layer is higher than that of a boundary located in an outer layer; determining a boundary optimization scheme based on the attribute information of each nested boundary and a set boundary optimization model, wherein the boundary optimization model takes the relative balance of ore quantity increment, rock quantity increment and stripping ratio increment in each stage boundary corresponding to stage mining of the open-pit mine as an optimization target; and the boundary optimization scheme comprises a stage boundary selected from the nested boundaries and serving as a basis for stage mining of the open-pit mine. The boundary optimization scheme can be automatically determined, and the economic benefit of the mine is improved.

Description

Technical Field

[0001] The present application relates to the field of mining, and in particular to a method, device, equipment and storage medium for optimizing the phased boundaries of an open-pit mine. Background Art

[0002] The stripping ratio—the ratio of rock removed during mining to ore mined—is a key indicator that must be controlled in open-pit mine production schedules. When an open-pit mine has large reserves, a long mining life, a large mining area, deep burial depth, and a large amount of upper stripping, adopting a phased mining approach can delay mining of a large amount of rock, reduce the amount of infrastructure stripping, lower the stripping ratio during early production, reduce investment in stripping equipment, and balance the mine's production stripping ratio. This reduces investment, postpones production costs, and improves the mine's economic efficiency. Furthermore, the final production level can be adjusted promptly based on changing market conditions, effectively addressing the risks associated with these changes.

[0003] In the phased mining method, the selection of phase boundaries is crucial. The selection of phase boundaries and their relationship with the final boundaries will directly affect the net present value (NPV) of the open-pit mine.

[0004] In related technologies, the optimal phase boundary plan is often determined based on the principle of maximizing NPV. For example, the optimal phase boundary plan for an open-pit mine includes:

[0005] 1) Based on the final realm, a number of candidate realms are generated according to the elements that constitute the side gangs of the staged realms;

[0006] 2) From the candidate realms, select one or several phased realms according to the principle of phased mining, and combine them with the final realm to form a phased realm plan;

[0007] 3) Schedule each plan and calculate NPV, and select the optimal stage level based on the principle of maximizing NPV.

[0008] However, the above optimization principle based on the maximum NPV requires manual permutation and combination to calculate the NPV of all possible phased realm combination schemes. This has problems such as large workload, easy errors and omission of optimal methods. Especially when the number of nested realms is large, the manual permutation and combination comparative analysis method is often difficult to cope with, which in turn affects the comprehensive benefits of open-pit mines. Summary of the Invention

[0009] In view of this, the embodiments of the present application provide a method, device, equipment and storage medium for optimizing the stages of an open-pit mine, aiming to improve the comprehensive benefits of the open-pit mine.

[0010] The technical scheme of the embodiments of the present application is implemented as follows:

[0011] In a first aspect, the embodiments of the present application provide a method for optimizing a stage boundary of an open-pit mine, comprising:

[0012] obtaining attribute information of nested boundaries of the open-pit mine, wherein each nested boundary is a boundary in a nested structure determined based on economic parameters of mining of the open-pit mine, and a net present value (NPV) of a boundary located in an inner layer is higher than a boundary located in an outer layer;

[0013] determining a boundary optimization scheme based on the attribute information of each nested boundary and a set boundary optimization model;

[0014] The boundary optimization model takes relative balance of increments of ore quantity, increments of rock quantity and increments of stripping ratio in each stage boundary corresponding to the stage mining of the open-pit mine as an optimization objective. The boundary optimization scheme includes a stage boundary selected from each nested boundary as a basis for the stage mining of the open-pit mine.

[0015] In some embodiments, the boundary optimization model is as follows:

[0016]

[0017]

[0018] wherein P is a set of nested boundaries, p is an index of a nested boundary, k o is a first deviation weight coefficient, k r is a second deviation weight coefficient, k λ is a third deviation weight coefficient, o n is an ore quantity corresponding to the boundary optimization scheme, r n is a rock quantity corresponding to the boundary optimization scheme, λ n is a stripping ratio corresponding to the boundary optimization scheme, is a positive deviation variable of the ore quantity increment in the pth nested boundary, is a negative deviation variable of the ore quantity increment in the pth nested boundary, is a positive deviation variable of the rock quantity increment in the pth nested boundary, is a negative deviation variable of the rock quantity increment in the pth nested boundary, is a positive deviation variable of the stripping ratio increment in the pth nested boundary, is a negative deviation variable of the stripping ratio increment in the pth nested boundary, s.t. represents a constraint rule, m is a number of nested boundaries, n is a number of stage boundaries, o p is an ore quantity in the pth nested boundary, r p is a rock quantity in the pth nested boundary, λp is the stripping ratio of the pth nested realm, x p is a binary variable. If the pth nested state belongs to the stage state, then x p is 1, otherwise x p is 0.

[0019] In some embodiments, the attribute information of each nested realm includes: the name of the nested realm, the amount of ore in the nested realm, the amount of rock in the nested realm, and the stripping ratio of the nested realm.

[0020] In some embodiments, determining a realm optimization solution based on the attribute information of each nested realm and a set realm optimization model includes:

[0021] The realm optimization model is solved based on the attribute information of each nested realm, and x p A nested realm of 1 is used as the staging realm.

[0022] In a second aspect, an embodiment of the present application provides an open-pit mine stage boundary optimization device, comprising:

[0023] an acquisition module for acquiring attribute information of nested realms of an open-pit mine, wherein each nested realm is a realm in a nested structure determined based on economic parameters of open-pit mining, and a realm in an inner layer has a higher net present value (NPV) than a realm in an outer layer;

[0024] An optimization module, configured to determine a realm optimization plan based on the attribute information of each nested realm and a set realm optimization model;

[0025] Among them, the boundary optimization model takes the relative balance of the ore quantity increment, rock quantity increment and stripping ratio increment within each phase boundary corresponding to the phased mining of the open-pit mine as the optimization goal; the boundary optimization plan includes: the phase boundary selected from each of the nested boundaries as the basis for the phased mining of the open-pit mine.

[0026] In some embodiments, the realm optimization model is as follows:

[0027]

[0028]

[0029] Among them, P is the set of nested realms, p is the index of the nested realm, k o is the first deviation weight coefficient, k r is the second bias weight coefficient, k λ is the third deviation weight coefficient, o n is the amount of ore corresponding to the realm optimization solution, r n is the rock volume corresponding to the boundary optimization solution, λn is the stripping ratio corresponding to the boundary optimization solution, is the positive deviation variable of the ore quantity increment in the pth nested realm, is the negative deviation variable of the ore quantity increment in the pth nested realm, is the positive deviation variable of the rock mass increment within the pth nested realm, is the negative deviation variable of the rock amount increment within the pth nested realm, is the positive deviation variable of the stripping ratio increment within the pth nested realm, is the negative deviation variable of the stripping ratio increment in the pth nested realm, st represents the constraint rule, m is the number of nested realms, n is the number of staged realms, o p is the amount of ore in the pth nested realm, r p is the amount of rock in the pth nested realm, λ p is the stripping ratio of the pth nesting realm, x p is a binary variable. If the pth nested state belongs to the stage state, then x p is 1, otherwise x p is 0.

[0030] In some embodiments, the attribute information of each nested realm includes: the name of the nested realm, the amount of ore in the nested realm, the amount of rock in the nested realm, and the stripping ratio of the nested realm.

[0031] In some embodiments, the optimization module is specifically configured to:

[0032] The realm optimization model is solved based on the attribute information of each nested realm, and x p A nested realm of 1 is used as the staging realm.

[0033] In a third aspect, an embodiment of the present application provides an electronic device comprising: a processor and a memory for storing a computer program that can be run on the processor, wherein when the processor is used to run the computer program, it executes the steps of the method described in the first aspect of the embodiment of the present application.

[0034] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method described in the first aspect of the embodiment of the present application are implemented.

[0035] The technical solution provided in the embodiment of the present application obtains the attribute information of the nested realms of the open-pit mine, wherein each nested realm is a realm in a nested structure determined based on the economic parameters of the open-pit mining, and the NPV of the realm located in the inner layer is higher than that of the realm located in the outer layer; based on the attribute information of each nested realm and the set realm optimization model, a realm optimization scheme is determined; wherein the realm optimization model takes the relative balance of the ore quantity increment, rock quantity increment and stripping ratio increment in each phase realm corresponding to the phased mining of the open-pit mine as the optimization goal; the realm optimization scheme includes: phased realms selected from each nested realm as the basis for the phased mining of the open-pit mine. In this way, the boundary optimization plan can be automatically determined based on the acquired attribute information of each nested boundary of the open-pit mine and the set boundary optimization model, which can avoid the problems of large workload, easy errors and omission of optimal methods in the manual arrangement and combination comparative analysis method; in addition, since the ore volume increment, rock volume increment and stripping ratio increment between each phase boundary can be relatively balanced, it is ensured that a large amount of rock mining will be postponed during mine production, the infrastructure stripping volume will be reduced, the early production stripping ratio will be reduced, the stripping equipment investment will be reduced, and the mine production stripping ratio will be balanced, thereby reducing investment, delaying production costs and improving the economic benefits of the mine. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of the method for optimizing the stages of an open-pit mine according to an embodiment of the present application;

[0037] Figure 2 This is a schematic structural diagram of an open-pit mine stage boundary optimization device according to an embodiment of the present application;

[0038] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0039] The present application will be described in further detail below with reference to the accompanying drawings and embodiments.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains. The terms used herein in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit this application.

[0041] The embodiment of the present application provides an open-pit mine phase boundary optimization method, which can be applied to electronic devices with data processing capabilities, such as notebooks, desktop computers or servers, to automatically determine the open-pit mine boundary optimization plan, such as Figure 1 As shown, the method includes:

[0042] Step 101 : Acquire attribute information of nested boundaries of an open pit mine, wherein each nested boundary is a boundary in a nested structure determined based on economic parameters of open pit mining, and the NPV of the inner boundary is higher than that of the outer boundary.

[0043] It is understandable that before obtaining the attribute information of the nested realms of the open-pit mine, it is necessary to first determine the final realm of the open-pit mine, and determine each nested realm based on the final realm of the open-pit mine and economic parameters.

[0044] Here, the final boundary is a three-dimensional geometric body that defines the mining reserves of an open-pit mine, which is generally determined by the bottom perimeter, the final slope angle and the mining depth. Among them, the mining reserves refer to the technically feasible and economically reasonable geological reserves, and the geological reserves refer to the mineral content estimated based on geological drilling data using geostatistical methods.

[0045] For example, the LG graph theory method can be used to optimize the boundaries by referring to similar mines and market prices, with the maximization of NPV as the criterion, and the optimal boundary is selected as the final boundary. The LG graph theory method is a final boundary optimization method with strict mathematical logic.

[0046] For example, a nested realm can be a series of mutually inclusive open-pit realms generated by changing economic parameters such as metal prices, mining costs, beneficiation costs, smelting costs and recovery rates in the realm optimization, and solving them through the realm optimization algorithm respectively. The most important feature of the nested realm is that the comprehensive net value (NPV) of the ore in the inner realm is higher than that in the outer realm.

[0047] Exemplarily, the acquired attribute information of the nested boundary includes: the name of the nested boundary, the amount of ore within the nested boundary, the amount of rock within the nested boundary, and the stripping ratio of the nested boundary.

[0048] Step 102: Determine a boundary optimization plan based on the attribute information of each nested boundary and the set boundary optimization model; wherein the boundary optimization model takes the relative balance of the ore quantity increment, rock quantity increment and stripping ratio increment within each phase boundary corresponding to the phased mining of the open-pit mine as the optimization goal; the boundary optimization plan includes: the phased boundary selected from each nested boundary as the basis for the phased mining of the open-pit mine.

[0049] It can be understood that the embodiment of the present application can automatically determine the boundary optimization plan based on the acquired attribute information of each nested boundary of the open-pit mine and the set boundary optimization model, which can avoid the problems of large workload, easy errors and omission of optimal methods in the manual arrangement and combination comparative analysis method; in addition, since the ore volume increment, rock volume increment and stripping ratio increment between each phase boundary can be relatively balanced, it ensures that a large amount of rock mining will be postponed during mine production, the infrastructure stripping volume will be reduced, the early production stripping ratio will be reduced, the stripping equipment investment will be reduced, and the mine production stripping ratio will be balanced, thereby reducing investment, delaying production costs, and improving the economic benefits of the mine.

[0050] In some embodiments, the realm optimization model is as follows:

[0051]

[0052]

[0053] Among them, P is the set of nested realms, p is the index of the nested realm, k o is the first deviation weight coefficient, k r is the second bias weight coefficient, k λ is the third deviation weight coefficient, o n is the amount of ore corresponding to the realm optimization solution, r n is the rock volume corresponding to the boundary optimization solution, λ n is the stripping ratio corresponding to the boundary optimization solution, is the positive deviation variable of the ore quantity increment in the pth nested realm, is the negative deviation variable of the ore quantity increment in the pth nested realm, is the positive deviation variable of the rock mass increment within the pth nested realm, is the negative deviation variable of the rock amount increment within the pth nested realm, is the positive deviation variable of the stripping ratio increment within the pth nested realm, is the negative deviation variable of the stripping ratio increment in the pth nested realm, st represents the constraint rule, m is the number of nested realms, n is the number of staged realms, o p is the amount of ore in the pth nested realm, r p is the amount of rock in the pth nested realm, λ p is the stripping ratio of the pth nesting realm, x p is a binary variable. If the pth nested state belongs to the stage state, then x p is 1, otherwise x p is 0.

[0054] In some embodiments, determining a realm optimization solution based on the attribute information of each nested realm and a set realm optimization model includes:

[0055] The realm optimization model is solved based on the attribute information of each nested realm, and x p A nested realm of 1 is used as the staging realm.

[0056] It should be noted that x p ={0,1}, which is the decision variable of the realm optimization model. If the nested realm p belongs to the stage realm, it is 1, otherwise it is 0.

[0057] It should be noted that the first deviation weight coefficient k o That is, the weight coefficient of the ore quantity increment deviation between the stages, the second deviation weight coefficient k r That is, the weight coefficient of the rock volume increment deviation between the stages, the third deviation weight coefficient k λ That is, the weight coefficient of the incremental deviation of the stripping ratio between different stages.

[0058] It is understandable that the aforementioned realm optimization model includes the following constraints:

[0059] (1) Balance of ore quantity increment within the phase boundary

[0060]

[0061] (2) Balance of rock mass increment within the stage boundary

[0062]

[0063] (3) Balance of incremental stripping ratio within each stage

[0064]

[0065] (4) Requirements for the number of stages

[0066]

[0067] (5) Non-negativity of incremental positive and negative deviation variables

[0068]

[0069] Wherein, the boundary optimization model is to realize the relative balance of the ore quantity increment, the rock quantity increment and the stripping ratio increment in each staged boundary as the optimization target, and the coefficient before the positive and negative deviation variable of each increment represents the weight coefficient of each factor after normalization. Specifically, the constraint condition (1) is to meet the balance of the ore quantity increment between the staged boundaries, and there is a certain deviation between the actual ore quantity increment and the target ore quantity increment between the staged boundaries, and the positive and negative deviation variables of the ore quantity increment of the staged boundary represent the deviation value; the constraint condition (2) is to meet the balance of the rock quantity increment between the staged boundaries, and there is a certain deviation between the actual rock quantity increment and the target rock quantity increment between the staged boundaries, and the positive and negative deviation variables of the rock quantity increment of the staged boundary represent the deviation value; the constraint condition (3) is to meet the balance of the boundary stripping ratio increment between the staged boundaries, and there is a certain deviation between the actual boundary stripping ratio increment and the target boundary stripping ratio increment between the staged boundaries, and the positive and negative deviation variables of the stripping ratio increment of the staged boundary represent the deviation value; the constraint condition (4) ensures that the number of the final obtained staged boundaries is the same as the target number of the staged boundaries; and the constraint condition (5) realizes the non-negativity of the positive and negative deviation variables of each increment.

[0070] The ore quantity, the rock quantity and the stripping ratio of each nested boundary of the open-pit mine are input into the boundary optimization model, the above boundary optimization model is solved, and a boundary optimization scheme is obtained, that is, when x p =1, the pth nested boundary belongs to the staged boundary; that is, when x p =0, the pth nested boundary does not belong to the staged boundary.

[0071] The method of the embodiment of the application will be exemplarily described below in combination with an application example.

[0072] In the application example, 4 staged boundaries are to be selected from 9 nested boundaries in a certain open-pit mine, and the attribute information of each nested boundary is shown in Table 1.

[0073] Table 1 Attribute information of the nested boundary

[0074]

[0075] The main parameter values of the boundary optimization model are as follows, the weight coefficient k o of the ore quantity increment deviation in the staged boundary is 2.0, the weight coefficient k r of the rock quantity increment deviation in the staged boundary is 1.0, and the weight coefficient k λ of the boundary stripping ratio increment deviation in the staged boundary is 0.5. The staged boundaries obtained by solving the boundary optimization model are the 2nd nested boundary, the 4th nested boundary, the 5th nested boundary and the 9th nested boundary in sequence, and the statistical analysis of the ore quantity increment, the rock quantity increment and the stripping ratio increment in the staged boundary is shown in Table 2.

[0076] Table 2 Statistics of staged realm optimization results

[0077]

[0078] It can be understood that this application example realizes the optimal decision-making method for each stage boundary that takes into account the balance of the ore quantity increment, rock quantity increment and stripping ratio increment between each stage boundary. The optimal decision-making result for each stage boundary is automatically obtained by computer construction and solution of mathematical models, avoiding the problems of manual permutation and combination comparative analysis methods such as large workload, easy errors and omission of optimal methods. It ensures that a large amount of rock mining will be postponed during mine production, the amount of infrastructure stripping will be reduced, the early production stripping ratio will be reduced, the investment in stripping equipment will be reduced, and the mine production stripping ratio will be balanced, thereby reducing investment, delaying production costs and improving the economic benefits of the mine.

[0079] In order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an open-pit mine stage boundary optimization device, which is set on an electronic device, such as Figure 2 As shown, the device includes: an acquisition module 201 and an optimization module 202. The acquisition module 201 is used to obtain attribute information of the nested realms of the open-pit mine, wherein each nested realm is a realm in a nested structure determined based on the economic parameters of the open-pit mining, and the net present value (NPV) of the realm in the inner layer is higher than that of the realm in the outer layer; the optimization module 202 is used to determine a realm optimization scheme based on the attribute information of each nested realm and a set realm optimization model; wherein the realm optimization model takes the relative balance of the ore quantity increment, rock quantity increment and stripping ratio increment within each phased realm corresponding to the phased mining of the open-pit mine as the optimization target; the realm optimization scheme includes: phased realms selected from each nested realm as the basis for the phased mining of the open-pit mine.

[0080] In some embodiments, the realm optimization model is as follows:

[0081]

[0082]

[0083] Among them, P is the set of nested realms, p is the index of the nested realm, k o is the first deviation weight coefficient, k r is the second bias weight coefficient, k λ is the third deviation weight coefficient, o n is the amount of ore corresponding to the realm optimization solution, r n is the rock volume corresponding to the boundary optimization solution, λ n is the stripping ratio corresponding to the boundary optimization solution, is the positive deviation variable of the ore quantity increment in the pth nested realm, is the negative deviation variable of the ore quantity increment in the pth nested realm, is the positive deviation variable of the rock mass increment within the pth nested realm, is the negative deviation variable of the rock amount increment within the pth nested realm, is the positive deviation variable of the stripping ratio increment within the pth nested realm, is the negative deviation variable of the stripping ratio increment in the pth nested realm, st represents the constraint rule, m is the number of nested realms, n is the number of staged realms, o p is the amount of ore in the pth nested realm, r p is the amount of rock in the pth nested realm, λ p is the stripping ratio of the pth nesting realm, x p is a binary variable. If the pth nested state belongs to the stage state, then x p is 1, otherwise x p is 0.

[0084] In some embodiments, the attribute information of each nested realm includes: the name of the nested realm, the amount of ore in the nested realm, the amount of rock in the nested realm, and the stripping ratio of the nested realm.

[0085] In some embodiments, the optimization module 202 is specifically configured to:

[0086] The realm optimization model is solved based on the attribute information of each nested realm, and x p A nested realm of 1 is used as the staging realm.

[0087] In actual application, the acquisition module 201 and the optimization module 202 can be implemented by a processor in the electronic device. Of course, the processor needs to run the computer program in the memory to implement its functions.

[0088] It should be noted that the open-pit mine phase boundary optimization device provided in the above embodiment only uses the division of the above program modules as an example when performing open-pit mine phase boundary optimization. In actual application, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. In addition, the open-pit mine phase boundary optimization device provided in the above embodiment and the open-pit mine phase boundary optimization method embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0089] Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an electronic device. Figure 3Only the exemplary structure of the device is shown, not all structures, and can be implemented as needed. Figure 3 Partial or complete structure shown.

[0090] like Figure 3 As shown, the device 300 provided in the embodiment of the present application includes: at least one processor 301, a memory 302, a user interface 303 and at least one network interface 304. The various components in the electronic device 300 are coupled together through a bus system 305. It can be understood that the bus system 305 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 305 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 3 Various buses are labeled as bus system 305 .

[0091] The user interface 303 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch pad or a touch screen.

[0092] The memory 302 in the embodiment of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program used to operate on the electronic device.

[0093] The method for optimizing the boundaries of open-pit mine phases disclosed in the embodiments of this application can be applied to or implemented by processor 301. Processor 301 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the method for optimizing the boundaries of open-pit mine phases can be completed by hardware integrated logic circuits or software instructions in processor 301. The aforementioned processor 301 can be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 301 can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium located in memory 302. Processor 301 reads the information in memory 302 and, in conjunction with its hardware, completes the steps of the method for optimizing the boundaries of open-pit mine phases provided in the embodiments of this application.

[0094] In an exemplary embodiment, the electronic device may be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), FPGAs, general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to perform the aforementioned method.

[0095] It is understood that memory 302 can be volatile memory or non-volatile memory, or can include both volatile and non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disk, or compact disc read-only memory (CD-ROM); magnetic surface memory can be magnetic disk memory or tape memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus random access memory (DRRAM).The memories described in the embodiments of this application are intended to include, but are not limited to, these and any other suitable types of memories.

[0096] In an exemplary embodiment, the present application also provides a storage medium, namely, a computer storage medium, which may be a computer-readable storage medium, for example, including a memory 302 storing a computer program. The computer program may be executed by a processor 301 of an electronic device to complete the steps of the method described in the embodiment of the present application. The computer-readable storage medium may be a memory such as a ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface storage, optical disk, or CD-ROM.

[0097] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0098] In addition, the technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.

[0099] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for optimizing the stage boundary of an open-pit mine, characterized in that: include: Acquire attribute information of nested realms of the open-pit mine, wherein each nested realm is a realm in a nested structure determined based on economic parameters of open-pit mining, and the net present value (NPV) of the realm in the inner layer is higher than that of the realm in the outer layer; Determining a realm optimization plan based on the attribute information of each nested realm and a set realm optimization model; The boundary optimization model takes the relative balance of ore quantity increment, rock quantity increment and stripping ratio increment within each phase boundary corresponding to the phased mining of the open-pit mine as the optimization goal; the boundary optimization scheme includes: the phase boundary selected from each nested boundary as the basis for the phased mining of the open-pit mine; The realm optimization model is as follows: Among them, P is the set of nested realms, p is the index of the nested realm, k o is the first deviation weight coefficient, k r is the second bias weight coefficient, k λ is the third deviation weight coefficient, o n is the amount of ore corresponding to the realm optimization solution, r n is the rock volume corresponding to the boundary optimization solution, λ n is the stripping ratio corresponding to the boundary optimization solution, is the positive deviation variable of the ore quantity increment in the pth nested realm, is the negative deviation variable of the ore quantity increment in the pth nested realm, is the positive deviation variable of the rock mass increment within the pth nested realm, is the negative deviation variable of the rock amount increment within the pth nested realm, is the positive deviation variable of the stripping ratio increment within the pth nested realm, is the negative deviation variable of the stripping ratio increment in the pth nested realm, st represents the constraint rule, m is the number of nested realms, n is the number of staged realms, o p is the amount of ore in the pth nested realm, r p is the amount of rock in the pth nesting realm, λ p is the stripping ratio of the pth nesting realm, x p is a binary variable. If the pth nested state belongs to the stage state, then x p is 1, otherwise x p is 0; The attribute information of each nested boundary includes: the name of the nested boundary, the amount of ore in the nested boundary, the amount of rock in the nested boundary, and the stripping ratio of the nested boundary.

2. The method according to claim 1, characterized in that Determining a realm optimization scheme based on the attribute information of each nested realm and a set realm optimization model includes: The realm optimization model is solved based on the attribute information of each nested realm, and x p A nested realm of 1 is used as the staging realm.

3. An open-pit mine stage boundary optimization device, characterized in that: include: an acquisition module for acquiring attribute information of nested realms of an open-pit mine, wherein each nested realm is a realm in a nested structure determined based on economic parameters of open-pit mining, and the net present value (NPV) of the realm in the inner layer is higher than that of the realm in the outer layer; An optimization module, configured to determine a realm optimization plan based on the attribute information of each nested realm and a set realm optimization model; The boundary optimization model takes the relative balance of ore quantity increment, rock quantity increment and stripping ratio increment within each phase boundary corresponding to the phased mining of the open-pit mine as the optimization goal; the boundary optimization scheme includes: the phase boundary selected from each nested boundary as the basis for the phased mining of the open-pit mine; The realm optimization model is as follows: Among them, P is the set of nested realms, p is the index of the nested realm, k o is the first deviation weight coefficient, k r is the second bias weight coefficient, k λ is the third deviation weight coefficient, o n is the amount of ore corresponding to the realm optimization solution, r n is the rock volume corresponding to the boundary optimization solution, λ n is the stripping ratio corresponding to the boundary optimization solution, is the positive deviation variable of the ore quantity increment in the pth nested realm, is the negative deviation variable of the ore quantity increment in the pth nested realm, is the positive deviation variable of the rock mass increment within the pth nested realm, is the negative deviation variable of the rock amount increment within the pth nested realm, is the positive deviation variable of the stripping ratio increment within the pth nested realm, is the negative deviation variable of the stripping ratio increment in the pth nested realm, st represents the constraint rule, m is the number of nested realms, n is the number of staged realms, o p is the amount of ore in the pth nested realm, r p is the amount of rock in the pth nesting realm, λ p is the stripping ratio of the pth nesting realm, x p is a binary variable. If the pth nested state belongs to the stage state, then x p is 1, otherwise x p is 0; The attribute information of each nested boundary includes: the name of the nested boundary, the amount of ore in the nested boundary, the amount of rock in the nested boundary, and the stripping ratio of the nested boundary.

4. The device according to claim 3, characterized in that The optimization module is specifically used for: The realm optimization model is solved based on the attribute information of each nested realm, and x p A nested realm of 1 is used as the staging realm.

5. An electronic device, characterized in that: include: A processor and a memory for storing a computer program capable of being executed on the processor, wherein The processor is configured to execute the steps of the method according to any one of claims 1 to 2 when running a computer program.

6. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

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