Open-cast bauxite mining planning and production scheduling system, method, medium and equipment
By automating the processing of geological data and generating structured planning schemes, the problems of low geological data processing efficiency and scheduling disconnect in open-pit bauxite mining have been solved, realizing intelligent production scheduling and improving resource utilization and product quality stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HENAN INTERNATIONAL MINING DEVELOPMENT CO LTD
- Filing Date
- 2025-12-17
- Publication Date
- 2026-04-24
AI Technical Summary
In open-pit bauxite mining, inefficient geological data processing, disconnect between planning and scheduling, delayed information transmission, and low levels of intelligent scheduling lead to unstable resource utilization and product quality.
The system automatically processes geological borehole data through data analysis, identifies ore body boundaries, calculates resource reserves, generates structured planning schemes, and performs intelligent scheduling in conjunction with real-time equipment data.
It has achieved a seamless data link from geological exploration to production scheduling, which has improved resource utilization and product quality stability, and enhanced the scientific nature and response speed of production scheduling.
Smart Images
Figure CN121920589A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of smart mines and digital mines, specifically to an open-pit bauxite mining planning and production scheduling system, method, computer-readable storage medium, and electronic equipment. Background Technology
[0002] In the management of open-pit bauxite mining, geological data processing, mining planning, and production scheduling are three closely related yet often disconnected core components. Current technologies have the following problems: 1. Geological data processing relies on manual labor, which is inefficient: Geological engineers need to manually process a large amount of borehole data and manually delineate ore bodies and calculate reserves and grades using offline software such as CAD and MapGIS. The process is tedious, time-consuming, and prone to errors.
[0003] 2. There is a “data gap” between planning and scheduling: the ore body models and planning schemes obtained by manual delineation and calculation are mostly drawings or unstructured documents, which cannot be directly identified and used by the production scheduling system. They require secondary interpretation by scheduling personnel, resulting in delayed and distorted information transmission.
[0004] 3. Delayed information transmission: Planning changes cannot be synchronized to the dispatching end in real time, and dispatching information such as geological changes in the mining area and equipment failures cannot be quickly fed back to the planning end, resulting in discrepancies between the plan and actual production.
[0005] 4. Low level of intelligent scheduling: Scheduling relies heavily on human experience and lacks the ability to comprehensively analyze multi-dimensional data such as mining area resource reserves, equipment location, ore grade, and production quality standardization, making it difficult to achieve optimal scheduling.
[0006] 5. Lack of accurate data support in the scheduling process: Due to the inability to easily obtain accurate and spatial grade distribution data, scheduling personnel rely mainly on experience to mix ore, making it difficult to achieve dynamic optimization scheduling based on grade, which affects resource utilization and product quality stability.
[0007] Therefore, there is an urgent need in this field for an integrated solution that can automatically process geological data and seamlessly drive intelligent planning and dynamic scheduling based on it. Summary of the Invention
[0008] In view of the above problems, this application proposes an open-pit bauxite mining planning and production scheduling system, method, computer-readable storage medium and electronic equipment, aiming to overcome the shortcomings of the prior art.
[0009] In a first aspect, embodiments of this application provide an open-pit bauxite mining planning and production scheduling system, including: a mining planning system, a production scheduling system, and an automatic data analysis system; The automatic data analysis system acquires and automatically processes geological borehole data, and based on the geological borehole data, automatically identifies the ore body boundary using a set Al2O3 grade threshold for aluminum ore, and calculates resource reserves and industrial average grade. The mining planning system receives and generates a digital planning scheme based on the ore body boundary, the resource reserves and the industrial average grade. The digital planning scheme includes: mining area division, reserve distribution and grade information structured. The production scheduling system receives and parses the digital planning scheme, and combines real-time equipment data with preset scheduling rules to intelligently assign production tasks and dynamically allocate ore based on grade.
[0010] Optionally, the automatic data analysis system includes: an automatic orebody delineation module; The automatic ore body delineation module reads the coordinate information and test data of the boreholes based on geological borehole data; The automatic ore body delineation module uses the set Al2O3 grade threshold of aluminum ore, combined with the coordinate information and test data, to automatically delineate and identify the ore body boundary, and calculate the thickness of the caprock, the thickness of the interbedded rock, and the thickness of the ore body to obtain the resource reserves. The automatic orebody delineation module uses a weighted average method to calculate the industrial average grade of the orebody or mining area. The calculation formula is as follows: ,in This represents the average grade of Al2O3 in aluminum ore. Let represent the Al2O3 grade of the aluminum ore corresponding to the i-th block or sample. Let be the volume of the i-th block. The weight of bauxite.
[0011] Optionally, the automatic orebody delineation module includes: a borehole intelligent classification unit; The intelligent borehole classification unit automatically classifies boreholes into three categories—red, blue, and black—based on the average grade of Al2O3 in the aluminum ore. The criteria for classifying red boreholes are: an average Al2O3 grade ≥ 41%; for blue boreholes, an average Al2O3 grade ≤ 40% < 41%; and for black boreholes, an average Al2O3 grade < 40%. The intelligent borehole classification unit automatically counts the total number of boreholes and the number of ore-bearing boreholes based on the classification results, and calculates the recovery rate and rejection rate. The recovery rate is calculated as: number of ore-bearing boreholes / total number of boreholes.
[0012] Optionally, when the production scheduling system performs dynamic ore blending scheduling, it uses the average grade of Al2O3 in each mining area provided by the digital planning scheme. and the overall quality target required by the production plan. The optimal ore output of each mining area within the current scheduling cycle is determined by an optimization algorithm. And meet taste constraints: .
[0013] Optionally, the automatic data analysis system further includes: a reserve calculation module; The reserve calculation module uses geostatistical methods or the parallel section method to calculate resource reserves. Based on the resource reserves, the reserve calculation module automatically calculates the stripping volume, ore volume, and generates a resource estimation result report. The formula for calculating the volume of a single ore block using the parallel section method is as follows: ,in The volume of the ore block. and This represents the area of the ore body between two adjacent cross sections. The distance between the two sections; The resource reserves The calculation formula is: ,in Let be the volume of the i-th block. The weight of bauxite.
[0014] Optionally, the automatic data analysis system includes: a grade analysis module per meter; The per-meter grade analysis module generates per-meter grade charts of Al2O3 and SiO2 for samples within a specified depth range, providing refined grade distribution data support for ore blending management.
[0015] Optionally, it may also include one or more of a plurality of functional modules integrated with the data automatic analysis system: a drone inspection system, a digital document management system; The drone inspection system is used to acquire real-time data from the site and update the mine model. The digital document management system is used to associate and retrieve mining documents related to spatial location.
[0016] Secondly, embodiments of this application provide a method for planning and scheduling open-pit bauxite mining. This intelligent open-pit bauxite mining planning and production scheduling method is applied to the open-pit bauxite mining planning and production scheduling system described in the first aspect, including: The automatic orebody delineation module of the data automatic analysis system processes geological borehole data, automatically delineates ore bodies, and calculates resource reserves and average grade. The mining planning system generates a structured digital planning scheme based on the ore body delineation results. The production scheduling system analyzes the digital planning scheme, combines real-time production data with preset scheduling rules, executes dynamic ore allocation scheduling, and generates and issues equipment scheduling instructions. The automatic data analysis system integrates, visualizes, and analyzes geological models, planning schemes, scheduling execution, and real-time production data, and feeds the analysis results back to the front end to optimize subsequent ore body delineation, planning, and scheduling decisions.
[0017] Thirdly, embodiments of this application provide a computer-readable storage medium storing computer-readable instructions, which are loaded and executed by a processor to implement the open-pit bauxite mining planning and production scheduling method as described in the second aspect.
[0018] Fourthly, embodiments of this application provide an electronic device, including a processor and a memory, wherein the memory stores computer-readable instructions, which, when loaded and executed by the processor, implement the open-pit bauxite mining planning and production scheduling method as described in the second aspect.
[0019] The intelligent open-pit bauxite mining planning and production scheduling system proposed in this application aims to generate structured digital planning schemes through automated processing and intelligent delineation of geological data. Using this as the core link, it completely connects the entire data chain from geological exploration to mining planning and production scheduling, achieving intelligent and lean mine operations. This system particularly emphasizes automating geological data processing and generating machine-readable planning schemes, deeply integrating mining planning and production scheduling to achieve intelligent management and control throughout the entire process.
[0020] The intelligent open-pit bauxite mining planning and production scheduling system proposed in this application constructs a collaborative architecture with an automatic data analysis system as the intelligent foundation and a mining planning system and a production scheduling system as the core applications. The automatic data analysis system is the platform's "intelligent engine." Its core lies in its built-in automatic orebody delineation module. This module can: automatically read and parse borehole coordinate information and test data (such as Al2O3 and SiO2 grades); automatically delineate the orebody boundary in three-dimensional space based on a set Al2O3 grade threshold (e.g., ≥40%), and accurately calculate the thickness of the overburden, interbedded rock, and orebody; automatically calculate the industrial average grade of the orebody or sub-mining area using models such as the weighted average method; possess intelligent borehole classification capabilities, automatically identifying boreholes as red, blue, black, etc., based on grade, providing an intuitive basis for rapid resource assessment; and also calculate total resource reserves using methods such as the parallel section method, generating resource estimation reports.
[0021] The mining planning system is the platform's "decision-making brain." It directly receives the delineated and quantified orebody model provided by the data analysis system. Based on this model, the system performs tasks such as mining area division, mining sequence optimization, and transportation route design, ultimately outputting a structured digital planning scheme. This scheme includes key information such as machine-readable mining area boundaries, reserve distribution, grade data, and recommended equipment.
[0022] The mining planning system is the platform's "planning brain." It handles core production business logic such as clearing, mining, loading, reserves, testing, ore blending, equipment, and fuel consumption. One of its core functions is to accurately calculate the ore body's resource reserves and industrial average grade based on exploration data (such as borehole samples) and to conduct planning and design accordingly.
[0023] The calculation of ore body reserves employs geostatistical methods and the parallel section method. For regular ore bodies, the parallel section method is used for calculation. The formula for calculating the volume of a single ore block using the parallel section method is: ,in The volume of the ore block. and This represents the area of the ore body between two adjacent cross sections. The distance between the two sections; total resource reserves The calculation formula is: ,in Let be the volume of the i-th block. The weight of bauxite.
[0024] The industrial average grade is calculated using a weighted average method to determine the average grade of the entire ore body or a designated mining area. For the calculation of the average grade of Al2O3, the formula is as follows: ,in The average grade of Al2O3, Let represent the Al2O3 grade corresponding to the i-th ore block or sample. Let be the volume of the i-th block. This is the weight of bauxite. This calculation provides core data input for ore blending management.
[0025] The above calculation results are combined with the planned mining area and mining sequence to generate a structured digital planning scheme, which is then pushed to the geological model for visualization and interaction.
[0026] The production scheduling system is the "execution arm" of the platform. It can directly receive and parse digital planning schemes from the mining planning system. When executing scheduling, the system not only considers the location and status of equipment, but more importantly, it can use the precise grade data in the scheme and, through the built-in dynamic ore blending algorithm, solve for the optimal ore extraction scheme that meets the comprehensive grade target, realizing the leap from "experience-based scheduling" to "data-driven scheduling".
[0027] Dynamic ore blending scheduling is based on the average grade of each mining area provided by the planning system. And the comprehensive quality targets required by monthly and daily production plans. Establish a linear programming or heuristic algorithm model to minimize transportation costs or maximize resource utilization, and solve for the optimal ore output of each mining area within the current scheduling cycle. And meet taste constraints: .
[0028] Real-time scheduling and adjustment receive real-time test results from the automated data analysis system. When the actual grade... C_real Compared with the estimated grade C_avg When a significant deviation occurs, the system will trigger scheduling rules to dynamically adjust the assignment scheme of mining machines and trucks. For example, it will move equipment from low-grade areas to high-grade areas, or vice versa, to ensure that the final ore grade remains stable within the target range.
[0029] The automated data analysis system is the "intelligent core" of the platform. It provides algorithmic support for the planning and scheduling systems. Its data processing and analysis engine incorporates the aforementioned reserve and grade calculation models and can simulate ore blending and scheduling schemes, predicting the impact of different scheduling strategies on production and grade stability.
[0030] The drone inspection system is the platform's "eye in the air," providing real-time and accurate geological and remote sensing data of open-pit bauxite mines for the system's geological model.
[0031] The digital document management system enables the linkage between images and documents, allowing each spatial location to be associated with and access its entire lifecycle of documents, such as the design, safety, and quality standardization documents corresponding to the mining site.
[0032] The intelligent open-pit bauxite mining planning and production scheduling method proposed in this application is applied to the above system, with an intelligent workflow: (1) Automated processing of borehole data, intelligent delineation of ore bodies and calculation of key parameters, replacing traditional manual operation.
[0033] (2) Based on a precise ore body model, a structured digital planning scheme is automatically or assisted in being generated.
[0034] (3) The scheduling system directly analyzes the digital scheme and uses real-time data and grade information to perform adaptive ore blending and scheduling.
[0035] (4) The data of the whole process is recorded and analyzed to continuously correct the geological model, optimize the planning algorithm and scheduling strategy, and form a self-improving closed loop. Attached Figure Description
[0036] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a structural diagram of an open-pit bauxite mining planning and production scheduling system according to an embodiment of this application; Figure 2 This is an architecture diagram of a preferred open-pit bauxite mining planning and production scheduling system according to an embodiment of this application. Figure 3 This application embodiment presents an exemplary automatic data analysis system for the automated processing of geological data and the delineation of ore bodies, demonstrating the complete process from raw borehole data to intelligent delineation of ore bodies. Figure 4 This is an exemplary production scheduling system for dynamic ore blending scheduling according to an embodiment of this application, which demonstrates how the production scheduling system makes optimization decisions based on grade data; Figure 5 This is an exemplary visualization monitoring and closed-loop optimization process in an embodiment of this application, which demonstrates an intelligent closed loop of "geology-planning-scheduling-feedback". Detailed Implementation
[0037] The embodiments of this application will now be described in detail. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0038] The intelligent open-pit bauxite mining planning and production scheduling system proposed in this application refers to... Figure 1 The structure diagram shown includes: a mining planning system, a production scheduling system, and an automatic data analysis system.
[0039] An automated data analysis system acquires and processes geological borehole data, and based on this data, automatically identifies ore body boundaries using a set Al2O3 grade threshold for aluminum ore, and calculates resource reserves and the industrial average grade. A mining planning system receives and generates a digital planning scheme based on the ore body boundaries, resource reserves, and the industrial average grade. This digital planning scheme includes structured information on mining area division, reserve distribution, and grade. A production scheduling system receives and parses the digital planning scheme, and, combined with real-time equipment data and preset scheduling rules, performs intelligent assignment of production tasks and dynamic ore allocation scheduling based on grade. In one embodiment of this application, reference is made to... Figure 2The diagram shows the structure of a superior open-pit bauxite mining planning and production scheduling system. The automatic data analysis system includes: an automatic ore body delineation module, a reserve calculation module, and a grade analysis module.
[0040] The automatic orebody delineation module reads the coordinate information and test data of the boreholes based on geological borehole data. Using the set Al2O3 grade threshold of aluminum ore, combined with the coordinate information and test data, the automatic orebody delineation module automatically delineates and identifies the orebody boundary, and calculates the thickness of the caprock, the thickness of the interbedded rock, and the thickness of the orebody to obtain the resource reserves.
[0041] The automatic orebody delineation module uses a weighted average method to calculate the industrial average grade of the orebody or mining area. The calculation formula is as follows: ,in This represents the average grade of Al2O3 in aluminum ore. Let represent the Al2O3 grade of the aluminum ore corresponding to the i-th block or sample. Let be the volume of the i-th block. The weight of bauxite.
[0042] In one embodiment of this application, preferably, the automatic orebody delineation module includes: a borehole intelligent classification unit; the borehole intelligent classification unit automatically classifies ore-bearing boreholes into: red holes, blue holes, and black holes based on the average grade of Al2O3 in the aluminum ore, wherein the standard for classifying red holes is that the average grade of Al2O3 in the aluminum ore is ≥41%, the standard for classifying blue holes is that the average grade of Al2O3 in the aluminum ore is 40% ≤ average grade <41%, and the standard for classifying black holes is that the average grade of Al2O3 in the aluminum ore is <40%; the borehole intelligent classification unit automatically counts the total number of boreholes and the number of ore-bearing boreholes based on the classification results, and calculates the extraction rate and rejection rate, where the extraction rate = number of ore-bearing boreholes / total number of boreholes.
[0043] In one embodiment of this application, preferably, when the production scheduling system performs dynamic ore blending scheduling, it uses the average grade of Al2O3 in each mining area provided by the digital planning scheme. and the overall quality target required by the production plan. The optimal ore output of each mining area within the current scheduling cycle is determined by an optimization algorithm. And meet taste constraints: .
[0044] In one preferred embodiment of this application, the automatic data analysis system further includes: a reserve calculation module; the reserve calculation module calculates resource reserves using geostatistical methods or the parallel section method; based on the resource reserves, the reserve calculation module automatically calculates the stripping volume, ore volume, and generates a resource estimation result report. The formula for calculating the volume of a single ore block using the parallel section method is: ,in The volume of the ore block. and This represents the area of the ore body between two adjacent cross sections. This refers to the distance between the two cross sections. Resource reserves. The calculation formula is: ,in Let be the volume of the i-th block. The weight of bauxite.
[0045] In one embodiment of this application, preferably, the automatic data analysis system includes: a grade analysis module per meter ( Figure 2 The grade analysis module generates a grade chart of Al2O3 and SiO2 per meter for samples within a specified depth range, providing refined grade distribution data support for ore blending management.
[0046] In one embodiment of this application, preferably, the open-pit bauxite mining planning and production scheduling system further includes one or more of a plurality of functional modules integrated with an automatic data analysis system: a drone inspection system and a digital document management system; the drone inspection system is used to acquire real-time data on site and update the mine model; the digital document management system is used to associate and access mine documents related to spatial location.
[0047] The workflow for automated geological data processing and ore body delineation using an automated data analysis system can be referenced. Figure 3 The flowchart shown illustrates the complete process from raw borehole data to intelligent ore body delineation. It imports raw geological data, reads and parses borehole and laboratory data, automatically delineates ore bodies based on aluminum ore thresholds, and terminates and issues an alarm if the process fails; otherwise, it calculates the thickness of the caprock / intercalation / ore body, the average grade of the ore body, and the total resource reserves, generating an ore body model and a reserve report.
[0048] The process for dynamic ore allocation scheduling in the production scheduling system can be referenced. Figure 4 The flowchart shown illustrates how the production scheduling system makes optimization decisions based on grade data. It receives a digital planning scheme, analyzes the reserves and grade of each mining area, obtains the production ore quantity and grade target, and performs dynamic ore blending optimization calculations. It determines whether it is the optimal solution; if not, it adjusts the target and issues an alarm; if so, it starts production and issues scheduling instructions. It monitors real-time data and test results to determine if there is a grade deviation; if so, it returns to the dynamic ore blending optimization calculation; otherwise, it returns to the step of receiving the digital planning scheme to provide feedback and verify the planning scheme.
[0049] The process of visual monitoring and closed-loop optimization can be referenced. Figure 5As shown, it demonstrates an intelligent closed loop of "geology-planning-scheduling-feedback". The real-time data and feedback from the automatic data analysis system produce ore body models and reports. The machine-readable, structured data is the production digitization solution of the mining session system. It is dynamic, intelligent, and modulotable. It is received by the production scheduling system, and the real-time data generated after being executed in the field is visualized. The actual field instruction data is also visualized.
[0050] Based on the aforementioned open-pit bauxite mining planning and production scheduling system, this application also proposes an intelligent open-pit bauxite mining planning and production scheduling method. This intelligent open-pit bauxite mining planning and production scheduling method is applied to the open-pit bauxite mining planning and production scheduling system described in any of the above claims. The open-pit bauxite mining planning and production scheduling method includes: Step S1: The automatic orebody delineation module of the automatic data analysis system processes geological borehole data, automatically delineates ore bodies, and calculates resource reserves and average grade; this step can be understood as realizing the automatic processing of geological data and orebody delineation.
[0051] Step S2: Based on the ore body delineation results, a structured digital planning scheme is generated through the mining planning system; this step can be understood as realizing the generation of the digital planning scheme.
[0052] Step S3: Through the production scheduling system, analyze the digital planning scheme, combine real-time production data with preset scheduling rules, execute dynamic ore allocation scheduling, and generate and issue equipment scheduling instructions; this step can be understood as realizing intelligent scheduling and dynamic ore allocation.
[0053] Step S4: Through an automated data analysis system, the geological model, planning scheme, scheduling execution, and real-time production data are integrated, visualized, and analyzed. The analysis results are then fed back to the front end to optimize subsequent orebody delineation, planning, and scheduling decisions. This step can be understood as achieving visualization and closed-loop optimization.
[0054] To better understand the above-mentioned open-pit bauxite mining planning and production scheduling system and methods, the following examples illustrate several practical applications.
[0055] For a specific mining area, the first stage is planning and calculation: technical engineers import borehole data from production exploration into the mining planning system. The open-pit bauxite mining planning and production scheduling system first uses geostatistical models (such as Kriging) to estimate the grade of the entire ore body based on borehole coordinates and grade data, generating a grade distribution model. Subsequently, the system applies the parallel section method and weighted average formula to calculate the resource reserves and average Al2O3 grade of the initial mining area. This result serves as the core planning basis.
[0056] In the scheduling and ore blending stage: the production scheduling system receives the planning scheme, including the monthly ore production target and comprehensive production grade indicators. The system then calls upon the ore blending optimization algorithm from the automatic data analysis system to calculate the optimal mining sequence based on the reserve and grade data of each zone: prioritizing the mining of reserve areas and high-grade areas, and then coordinating the mining of low-grade areas with low-grade areas, thus meeting both production and grade requirements. Based on this, the system generates detailed scheduling instructions for the on-site mining machines.
[0057] Dynamic Adjustment Phase: After production, real-time test results from some zones showed that the grade was lower than the model prediction. The automatic data analysis system immediately detected this deviation and re-run the ore blending model. The production scheduling system then received a new instruction suggestion: "Increase the mining time of the mining machine on site and fine-tune the mining machine's on-site operation path to find higher-grade ore sections." After confirmation by the dispatcher, the system issued the updated instructions to the on-site equipment.
[0058] Through the above methods, this application deeply couples the static calculation of resource reserves and industrial grade with the dynamic decision-making of production scheduling, ensuring the optimization of mine production in terms of resource utilization and product quality, and realizing precise control from macro planning to micro execution.
[0059] For a specific mining area, taking the core business scenario of "annual production plan formulation and monthly breakdown" as an example, the implementation process is as follows: Planning and data import: Design data can be imported into the open-pit bauxite mining planning and production scheduling system. Mining engineers input core data such as production exploration results, annual ore mining targets, average grade indicators, and current ore stockpile inventory into the system.
[0060] Three-phase planning and design: Phase 1 (Mining Area Division and Reserve Calculation): Technical engineers browse the entire ore resource distribution on the platform's geological model. Based on grade indicators, the system automatically highlights eligible preferred areas. Within these areas, technical engineers, considering the ore body's occurrence, delineate the main mining areas. The system instantly completes the calculation and displays the mining area's reserves, aluminum ore grade, and thermal distribution.
[0061] Phase Two (General Layout Design): Within the designated mining areas, technical engineers use the drawing tools within the open-pit bauxite mining planning and production scheduling system to design the ore belts, mining roads, and ore stockpiles within each mining area. Next, they plan the shared main transport road connecting each mining area to the crushing station and select areas on the map as dedicated humus stockpiles and waste rock stockpiles.
[0062] The third stage (delineation of clearing boundaries): The mining engineer selects the designed material strip boundary, and the open-pit bauxite mining planning and production scheduling system automatically generates the clearing boundary line and calculates the clearing area and earthwork volume based on the built-in rules (e.g., the fine clearing boundary line is expanded to the coarse clearing range, and the material strip boundary line is expanded to the fine clearing range).
[0063] Generate a production plan: Technical engineers break down annual targets into monthly targets. This target is entered into the "Production Plan" submodule of the open-pit bauxite mining planning and production scheduling system. Based on the mining area's reserves and grade, the system automatically recommends the optimal mining plan using a built-in ore blending optimization algorithm.
[0064] After confirmation by technical engineers, the open-pit bauxite mining planning and production scheduling system further assigns specific working faces to mining machines based on the layout of the mining area and working faces, and automatically generates a visualized monthly scheduling plan Gantt chart, which clearly shows the operating time sequence of each machine in each mining area.
[0065] The monthly production plan (including mining area, equipment scheduling, expected output and grade) is published to the mining planning system and production scheduling system with one click, serving as the sole basis for production execution in that month.
[0066] Execution, monitoring, and optimization: During production, all equipment location, output, and fuel consumption data are fed back to the production scheduling system and automatic data analysis system in real time. A drone inspection system periodically scans the site, comparing the actual mining progress with the planned design on a visualized geological model.
[0067] The leadership decision-making level can independently analyze the daily efficiency, fuel consumption and alignment with the plan of the mining area through the dashboard of the automatic data analysis system, and evaluate the production efficiency of the mining teams throughout the mine through the drilling function, so as to intervene in the mine site management in a timely manner.
[0068] Deviation data from on-site feedback and insights from the data analysis system are used to optimize the next round of mining planning and design, forming a closed loop of continuous improvement.
[0069] For a specific mining area, taking "rapid deployment of mining areas based on new exploration data" as an example: Data Import and Intelligent Delineation: Geological engineers import a new batch of production exploration borehole data into the open-pit bauxite mining planning and production scheduling system. The automatic orebody delineation module of the automatic data analysis system then activates, automatically delineating the new orebody range in the three-dimensional geological model based on the preset industrial index of Al2O3 ≥ 40%, and instantly completing reserve calculation and average grade assessment. The system also automatically classifies boreholes by grade, visually displaying high-grade (red hole) areas.
[0070] Planning Scheme Generation: After receiving the newly delineated orebody model, the mining planning system allows planning engineers to refer to the system's recommended mining area division scheme and, in conjunction with factors such as contour lines and transportation distances, complete the digital design of mining areas, material belts, and roads within the system. The system ultimately generates a digital planning scheme containing all design elements.
[0071] Dispatch instruction issuance and execution: The production scheduling system automatically parses the new plan. Assuming the production task requires a comprehensive grade of 44% this month, the scheduling system calculates the amount of ore each zone needs to contribute based on the grade data of each zone within the new mining area using an optimization algorithm, and generates specific mining machine dispatch instructions, which are then issued to the field equipment.
[0072] Dynamic Adjustment and Optimization: During the mining process, real-time laboratory data showed that the grade of a certain zone was higher than expected. The automatic data analysis system captured this information, and the production scheduling system dynamically fine-tuned the ore extraction ratio of that zone accordingly, achieving the grade target ahead of schedule. All data from this mining operation was recorded by the system and used to optimize subsequent grade estimation models.
[0073] Through the above methods, this application achieves rapid and automatic conversion from "raw borehole data" to "precise scheduling instructions", which greatly improves the mine's response speed and the scientific nature of decision-making in response to geological changes and production plan adjustments.
[0074] Based on the above-mentioned open-pit bauxite mining planning and production scheduling method, this application embodiment also proposes a computer storage medium, wherein the storage medium stores computer-readable instructions, which are loaded and executed by a processor to implement the above-mentioned open-pit bauxite mining planning and production scheduling method.
[0075] Based on the above-mentioned open-pit bauxite mining planning and production scheduling method, this application also proposes an electronic device, including a processor and a memory, wherein the memory stores computer-readable instructions, and when the instructions are loaded and executed by the processor, the above-mentioned open-pit bauxite mining planning and production scheduling method is implemented.
[0076] In summary, the core objective of the intelligent open-pit bauxite mining planning and production scheduling system proposed in this application is to generate structured digital planning schemes through automated processing and intelligent delineation of geological data. Using this as the core link, the system thoroughly connects the entire data chain from geological exploration to mining planning and production scheduling, achieving intelligent and lean mine operations. This system particularly emphasizes the automated processing of geological data to generate machine-readable planning schemes, deeply integrating mining planning and production scheduling to achieve intelligent management and control throughout the entire process.
[0077] The intelligent open-pit bauxite mining planning and production scheduling system proposed in this application constructs a collaborative architecture with an automatic data analysis system as the intelligent foundation and a mining planning system and a production scheduling system as the core applications. The automatic data analysis system is the platform's "intelligent engine." Its core lies in its built-in automatic orebody delineation module. This module can: automatically read and parse borehole coordinate information and test data (such as Al2O3 and SiO2 grades); automatically delineate the orebody boundary in three-dimensional space based on a set Al2O3 grade threshold (e.g., ≥40%), and accurately calculate the thickness of the overburden, interbedded rock, and orebody; automatically calculate the industrial average grade of the orebody or sub-mining area using models such as the weighted average method; possess intelligent borehole classification capabilities, automatically identifying boreholes as red, blue, black, etc., based on grade, providing an intuitive basis for rapid resource assessment; and also calculate total resource reserves using methods such as the parallel section method, generating resource estimation reports.
[0078] The mining planning system is the platform's "decision-making brain." It directly receives the delineated and quantified orebody model provided by the data analysis system. Based on this model, the system performs tasks such as mining area division, mining sequence optimization, and transportation route design, ultimately outputting a structured digital planning scheme. This scheme includes key information such as machine-readable mining area boundaries, reserve distribution, grade data, and recommended equipment.
[0079] The mining planning system is the platform's "planning brain." It handles core production business logic such as clearing, mining, loading, reserves, testing, ore blending, equipment, and fuel consumption. One of its core functions is to accurately calculate the ore body's resource reserves and industrial average grade based on exploration data (such as borehole samples) and to conduct planning and design accordingly.
[0080] The calculation of ore body reserves employs geostatistical methods and the parallel section method. For regular ore bodies, the parallel section method is used for calculation. The formula for calculating the volume of a single ore block using the parallel section method is: ,in The volume of the ore block. and This represents the area of the ore body between two adjacent cross sections. The distance between the two sections; total resource reserves The calculation formula is: ,in Let be the volume of the i-th block. The weight of bauxite.
[0081] The industrial average grade is calculated using a weighted average method to determine the average grade of the entire ore body or a designated mining area. For the calculation of the average grade of Al2O3, the formula is as follows: ,in The average grade of Al2O3, Let represent the Al2O3 grade corresponding to the i-th ore block or sample. Let be the volume of the i-th block. This is the weight of bauxite. This calculation provides core data input for ore blending management.
[0082] The above calculation results are combined with the planned mining area and mining sequence to generate a structured digital planning scheme, which is then pushed to the geological model for visualization and interaction.
[0083] The production scheduling system is the "execution arm" of the platform. It can directly receive and parse digital planning schemes from the mining planning system. When executing scheduling, the system not only considers the location and status of equipment, but more importantly, it can use the precise grade data in the scheme and, through the built-in dynamic ore blending algorithm, solve for the optimal ore extraction scheme that meets the comprehensive grade target, realizing the leap from "experience-based scheduling" to "data-driven scheduling".
[0084] Dynamic ore blending scheduling is based on the average grade of each mining area provided by the planning system. And the comprehensive quality targets required by monthly and daily production plans. Establish a linear programming or heuristic algorithm model to minimize transportation costs or maximize resource utilization, and solve for the optimal ore output of each mining area within the current scheduling cycle. And meet taste constraints: .
[0085] Real-time scheduling and adjustment receive real-time test results from the automated data analysis system. When the actual grade... C_real Compared with the estimated grade C_avg When a significant deviation occurs, the system will trigger scheduling rules to dynamically adjust the assignment scheme of mining machines and trucks. For example, it will move equipment from low-grade areas to high-grade areas, or vice versa, to ensure that the final ore grade remains stable within the target range.
[0086] The automated data analysis system is the "intelligent core" of the platform. It provides algorithmic support for the planning and scheduling systems. Its data processing and analysis engine incorporates the aforementioned reserve and grade calculation models and can simulate ore blending and scheduling schemes, predicting the impact of different scheduling strategies on production and grade stability.
[0087] The drone inspection system is the platform's "eye in the air," providing real-time and accurate geological and remote sensing data of open-pit bauxite mines for the system's geological model.
[0088] The digital document management system enables the linkage between images and documents, allowing each spatial location to be associated with and access its entire lifecycle of documents, such as the design, safety, and quality standardization documents corresponding to the mining site.
[0089] The intelligent open-pit bauxite mining planning and production scheduling method proposed in this application is applied to the above system, with the following intelligent workflow: (1) Automated processing of borehole data, intelligent delineation of ore bodies and calculation of key parameters, replacing traditional manual operation.
[0090] (2) Based on a precise ore body model, a structured digital planning scheme is automatically or assisted in being generated.
[0091] (3) The scheduling system directly analyzes the digital scheme and uses real-time data and grade information to perform adaptive ore blending and scheduling.
[0092] (4) The data of the whole process is recorded and analyzed to continuously correct the geological model, optimize the planning algorithm and scheduling strategy, and form a self-improving closed loop.
[0093] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.
[0094] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.
[0095] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims. All of these forms are within the protection scope of this application.
Claims
1. A planning and production scheduling system for open-pit bauxite mining, characterized in that, include: Mining planning system, production scheduling system, and automated data analysis system; The automatic data analysis system acquires and automatically processes geological borehole data, and based on the geological borehole data, automatically identifies the ore body boundary using a set Al2O3 grade threshold for aluminum ore, and calculates resource reserves and industrial average grade. The mining planning system receives and generates a digital planning scheme based on the ore body boundary, the resource reserves and the industrial average grade. The digital planning scheme includes: mining area division, reserve distribution and grade information structured. The production scheduling system receives and parses the digital planning scheme, and combines real-time equipment data with preset scheduling rules to intelligently assign production tasks and dynamically allocate ore based on grade.
2. The open-pit bauxite mining planning and production scheduling system according to claim 1, characterized in that, The automatic data analysis system includes: an automatic orebody delineation module; The automatic ore body delineation module reads the coordinate information and test data of the boreholes based on geological borehole data; The automatic ore body delineation module uses the set Al2O3 grade threshold of aluminum ore, combined with the coordinate information and test data, to automatically delineate and identify the ore body boundary, and calculate the thickness of the caprock, the thickness of the interbedded rock, and the thickness of the ore body to obtain the resource reserves. The automatic orebody delineation module uses a weighted average method to calculate the industrial average grade of the orebody or mining area. The calculation formula is as follows: ,in This represents the average grade of Al2O3 in aluminum ore. Let represent the Al2O3 grade of the aluminum ore corresponding to the i-th block or sample. Let be the volume of the i-th block. The weight of bauxite.
3. The open-pit bauxite mining planning and production scheduling system according to claim 2, characterized in that, The automatic orebody delineation module includes: a borehole intelligent classification unit; The intelligent borehole classification unit automatically classifies boreholes into three categories—red, blue, and black—based on the average grade of Al2O3 in the aluminum ore. The criteria for classifying red boreholes are: an average Al2O3 grade ≥ 41%; for blue boreholes, an average Al2O3 grade ≤ 40% < 41%; and for black boreholes, an average Al2O3 grade < 40%. The intelligent borehole classification unit automatically counts the total number of boreholes and the number of ore-bearing boreholes based on the classification results, and calculates the recovery rate and rejection rate. The recovery rate is calculated as: number of ore-bearing boreholes / total number of boreholes.
4. The open-pit bauxite mining planning and production scheduling system according to claim 2, characterized in that, When the production scheduling system executes dynamic ore blending scheduling, it uses the average Al2O3 grade of aluminum ore in each mining area provided by the digital planning scheme. and the overall quality target required by the production plan. The optimal ore output of each mining area within the current scheduling cycle is determined by an optimization algorithm. And meet taste constraints: .
5. The open-pit bauxite mining planning and production scheduling system according to claim 1, characterized in that, The automatic data analysis system also includes: a reserve calculation module; The reserve calculation module uses geostatistical methods or the parallel section method to calculate resource reserves. Based on the resource reserves, the reserve calculation module automatically calculates the stripping volume, ore volume, and generates a resource estimation result report. The formula for calculating the volume of a single ore block using the parallel section method is as follows: ,in The volume of the ore block. and This represents the area of the ore body between two adjacent cross sections. The distance between the two sections; The resource reserves The calculation formula is: ,in Let be the volume of the i-th block. The weight of bauxite.
6. The open-pit bauxite mining planning and production scheduling system according to claim 1, characterized in that, The automatic data analysis system includes: a grade analysis module per meter; The per-meter grade analysis module generates per-meter grade charts of Al2O3 and SiO2 for samples within a specified depth range, providing refined grade distribution data support for ore blending management.
7. The open-pit bauxite mining planning and production scheduling system according to claim 1, characterized in that, It also includes one or more of the following functional modules integrated with the automatic data analysis system: unmanned aerial vehicle (UAV) inspection system and digital document management system; The drone inspection system is used to acquire real-time data from the site and update the mine model. The digital document management system is used to associate and retrieve mining documents related to spatial location.
8. A method for planning and scheduling production in open-pit bauxite mining, characterized in that, The intelligent open-pit bauxite mining planning and production scheduling method is applied to the open-pit bauxite mining planning and production scheduling system as described in any one of claims 1 to 7, comprising: The automatic orebody delineation module of the data automatic analysis system processes geological borehole data, automatically delineates ore bodies, and calculates resource reserves and average grade. The mining planning system generates a structured digital planning scheme based on the ore body delineation results. The production scheduling system analyzes the digital planning scheme, combines real-time production data with preset scheduling rules, executes dynamic ore allocation scheduling, and generates and issues equipment scheduling instructions. The automatic data analysis system integrates, visualizes, and analyzes geological models, planning schemes, scheduling execution, and real-time production data, and feeds the analysis results back to the front end to optimize subsequent ore body delineation, planning, and scheduling decisions.
9. A computer-readable storage medium, characterized in that, The storage medium stores computer-readable instructions, which are loaded and executed by a processor to implement the open-pit bauxite mining planning and production scheduling method as described in claim 8.
10. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores computer-readable instructions, which, when loaded and executed by the processor, implement the open-pit bauxite mining planning and production scheduling method as described in claim 8.