Rare earth mine partition liquid injection intelligent regulation and control method and system based on liquid level monitoring

Abstract

The embodiment of the invention provides a rare earth mine partition liquid injection intelligent regulation and control method and system based on liquid level monitoring. The method is applied to the technical field of intelligent mine management and comprises the steps that real-time liquid level data, geological stability indexes and environment temperature of all partitions of a rare earth mine are obtained and input into a preset rare earth mine partition model, and a first liquid level adjusting factor, a first geological stability adjusting factor and an environment temperature adjusting factor are obtained; and inputting the real-time liquid level data, the geological stability index, the environment temperature and the adjustment factors into a liquid injection intensity adjustment formula, and calculating the liquid injection intensity of each subarea. And finally, the calculated liquid injection intensity is sent to a liquid injection system. According to the scheme, the geological stability of the mining area is improved, the environmental influence caused by improper liquid injection is reduced, and resource waste and potential safety hazards of the mining area are avoided. The automatic liquid injection regulation and control system can improve the operation efficiency, reduce human intervention and ensure continuous optimization and sustainability of the liquid injection process.

Description

Technical Field

[0001] The present application relates to the field of intelligent mine management technology, and in particular to a method and system for intelligent control of rare earth mine zone injection based on liquid level monitoring. Background Art

[0002] As a strategic and key mineral resource, rare earths are widely used in high-tech fields such as new energy, electronic information, and national defense. Their efficient development and green utilization are of great significance to national economic security and industrial upgrading. In the rare earth mining process, the injection process is the core link in leaching rare earth ions. The injection intensity directly determines the resource recovery rate, production efficiency, and environmental impact. However, the geological conditions of mines are complex and changeable. The permeability of rock formations, the degree of fracture development, and the ambient temperature vary significantly in different zones. The traditional "one-size-fits-all" injection control method is difficult to meet the needs of refined mining and can easily lead to resource waste, geological disaster risks, and environmental pollution. Therefore, it is urgent to realize the dynamic optimization of injection parameters through intelligent technology to improve the overall benefits of rare earth mining.

[0003] Currently, injection control in rare earth mines mainly relies on manual experience and fixed parameter modes. Operators need to regularly inspect the liquid level data of each zone (through manual measurement or simple sensors), geological stability (through rock formation displacement monitoring or empirical judgment), and ambient temperature (through on-site thermometers and hygrometers), and then manually adjust the flow and pressure of the injection pump based on historical data. For example, when the liquid level in a certain zone drops, workers may increase the injection volume based on experience to maintain leaching efficiency; if the geological stability index is abnormal, the injection intensity is reduced to avoid the risk of collapse. This process is highly dependent on the frequency of manual inspections and the experience of operators, and there is a significant lag in data collection and decision-making, making it difficult to respond to dynamic changes in the mine in real time.

[0004] However, manual control is highly subjective, and differences in experience among operators can easily lead to inconsistent injection strategies, affecting the stability of resource recovery. Furthermore, data collection and decision-making cycles are long, making it impossible to promptly capture unexpected operating conditions such as liquid level fluctuations, geological mutations, or extreme temperatures, which can lead to decreased leaching efficiency or safety accidents. Furthermore, the lack of a multi-parameter collaborative optimization mechanism makes it difficult for humans to comprehensively balance the coupled relationship between liquid level, geological stability, and ambient temperature, making it easy to make local optimal decisions that "lose sight of one thing while focusing on another." Furthermore, fixed parameter models are difficult to adapt to the deterioration of geological conditions and changes in resource grades during long-term mining operations, leading to high long-term operating costs, low resource utilization, and excessive environmental loads. Summary of the Invention

[0005] In order to address the deficiencies of the prior art, the present application provides a method and system for intelligent control of zoning injection of rare earth mines based on liquid level monitoring. The present application solves the problem that the manual injection control of the prior art is highly subjective, and the difference in experience between different operators easily leads to inconsistent injection strategies, affecting the stability of resource recovery; and the data collection and decision-making cycle is long, and it is impossible to capture sudden working conditions such as liquid level fluctuations, geological mutations or extreme temperatures in a timely manner, which may cause a decrease in leaching efficiency or safety accidents; at the same time, there is a lack of a multi-parameter collaborative optimization mechanism, and it is difficult for humans to comprehensively weigh the coupling relationship between liquid level, geological stability and ambient temperature, and it is easy to make a local optimal decision of "losing one thing while focusing on another". In addition, the fixed parameter mode is difficult to adapt to the deterioration of geological conditions and changes in resource grades during long-term mining in mines, resulting in high long-term operating costs, low resource utilization and excessive environmental loads.

[0006] According to a first aspect of the present application, a method for intelligently controlling liquid injection in a rare earth mine zone based on liquid level monitoring is provided, comprising: obtaining real-time liquid level data, a geological stability index, and a real-time ambient temperature of each zone of the rare earth mine; inputting the real-time liquid level data, the geological stability index, and the real-time ambient temperature into a preset rare earth mine zone model; and obtaining a first liquid level adjustment factor, a first geological stability adjustment factor, and an ambient temperature adjustment factor;

[0007] Input the real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine;

[0008] The injection intensity is sent to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity.

[0009] According to a second aspect of the present application, there is provided a rare earth mine zone injection intelligent control system based on liquid level monitoring, which is used to execute the method according to the first aspect, including: a data acquisition module, which is used to obtain real-time liquid level data, geological stability index, and real-time ambient temperature of each zone of the rare earth mine, and input the real-time liquid level data, geological stability index, and real-time ambient temperature into a preset rare earth mine zone model to obtain a first liquid level adjustment factor, a first geological stability adjustment factor, and an ambient temperature adjustment factor;

[0010] An injection intensity calculation module is used to input real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor, and ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine;

[0011] The data sending module is used to send the injection intensity to the injection system of each partition of the rare earth mine, so that the injection system can control the injection of each partition of the rare earth mine according to the injection intensity.

[0012] According to a third aspect of the present application, an electronic device is provided. The electronic device includes: a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, the method described above is implemented.

[0013] In the above-mentioned intelligent control method and system for liquid injection in rare earth mines based on liquid level monitoring, the embodiments of the present application accurately calculate adjustment factors based on the specific conditions of the mining area by inputting data such as real-time liquid level, geological stability, and ambient temperature into a preset model, thereby ensuring precise adjustment of the injection intensity. This not only helps to improve the geological stability of the mining area, but also reduces the environmental impact caused by improper injection, avoiding waste of resources and potential safety hazards in the mining area. At the same time, the automated injection control system can improve operational efficiency, reduce human intervention, and ensure the continuous optimization and sustainability of the injection process. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0015] Figure 1 A schematic flow chart of a method for intelligently controlling liquid injection in a rare earth mine based on liquid level monitoring according to an embodiment of the present application is shown;

[0016] Figure 2 A schematic flow chart of a method for intelligent control of rare earth mine zone injection based on liquid level monitoring according to an embodiment of the present application is shown;

[0017] Figure 3 A schematic block diagram of an intelligent control system for zoning liquid injection in a rare earth mine based on liquid level monitoring according to an embodiment of the present application is shown;

[0018] Figure 4 A block diagram of an exemplary electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0019] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application.

[0020] Those skilled in the art will understand that the terms "first" and "second" in the embodiments of the present application are only used to distinguish different steps, devices or modules, and do not represent any specific technical meaning or the necessary logical order between them. It should also be understood that in the embodiments of the present application, "multiple" can refer to two or more, and "at least one" can refer to one, two or more. It should also be understood that for any component, data or structure mentioned in the embodiments of the present application, unless explicitly defined or given a contrary suggestion in the context, it can generally be understood as one or more. In addition, the term "and / or" in this application is merely a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this application generally indicates that the associated objects are in an "or" relationship. It should also be understood that the description of each embodiment in this application emphasizes the differences between the embodiments. The same or similar aspects can be referenced to each other. For the sake of brevity, they will not be described one by one.

[0021] At the same time, it should be understood that for ease of description, the dimensions of the various parts shown in the drawings are not drawn according to the actual proportional relationship. The following description of at least one exemplary embodiment is actually only illustrative and is in no way intended to limit the present application and its application or use. Technologies, methods and equipment known to ordinary technicians in the relevant fields may not be discussed in detail, but where appropriate, the technologies, methods and equipment should be considered part of the specification. It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further discussed in subsequent figures.

[0022] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0023] Figure 1 This is a flow chart of a method for intelligently controlling liquid injection in rare earth mines based on liquid level monitoring provided in an embodiment of the present application. The method of the embodiment of the present application aims to achieve accurate detection of large and small objects in an image.

[0024] S101, obtaining real-time liquid level data, geological stability index and real-time ambient temperature of each partition of the rare earth mine, inputting the real-time liquid level data, geological stability index and real-time ambient temperature into a preset rare earth mine partition model, and obtaining a first liquid level adjustment factor, a first geological stability adjustment factor and an ambient temperature adjustment factor.

[0025] Rare earth mine zoning can be defined as the division of a rare earth mine into different areas or sub-areas based on geographic location, geological characteristics, or development plans. These zoning facilitates refined management and monitoring. Each zone may differ in terms of resource reserves, ore quality, mining difficulty, and environmental impact, necessitating independent monitoring and regulation. For example, within a rare earth mine, there may be mining areas, abandoned areas, and sedimentation areas, each with distinct environmental conditions and operational requirements.

[0026] Liquid level data refers to the level of liquids (such as groundwater or injected fluids) in a mine. Real-time level data, acquired through sensors and other monitoring equipment, reflects changes in groundwater levels and helps determine the moisture status and potential flooding risks of various mine zones.

[0027] The geological stability index is a metric used to assess the geological stability of various mine zones. It is derived by monitoring deformation, pressure, and cracks in underground rock formations and ore bodies. This index reflects the risk of geological disasters (such as landslides and collapses) that may occur during mining.

[0028] Real-time ambient temperature refers to the ambient air or ground temperature of each subarea within a rare earth mine. Temperature changes can affect groundwater flow, ore body stability, and chemical reaction rates, necessitating real-time monitoring.

[0029] The pre-set rare earth mine zoning model can be a mathematical or computer model used to evaluate the status of each zone based on different input data (such as liquid level data, geological stability index, and ambient temperature, etc.) and provide decision support for subsequent injection, mining and other operations. The model usually considers the following factors: the geological structure of the mining area (which affects the geological stability index and liquid level changes), environmental changes (such as temperature changes), and the relationship between liquid level, temperature, and stability (for example, rising temperature may cause liquid level evaporation and reduce the stability index, etc.).

[0030] The first liquid level adjustment factor can be used to adjust the injection intensity based on the mine's liquid level data. When the liquid level is high, the injection intensity may need to be reduced to prevent pressure buildup caused by excessive injection; when the liquid level is low, the injection intensity may need to be increased to ensure sufficient liquid penetration into the mine. By monitoring the liquid level in real time, the injection process can be maintained within an appropriate range, avoiding excessive or insufficient liquid accumulation and maintaining mine stability.

[0031] The first geological stability adjustment factor can be adjusted based on the mining area's geological stability index to ensure that the injection process does not negatively impact the mining area's geological stability under varying geological conditions. Areas with poor geological stability may require reduced injection intensity or rate to prevent excessive pressure and geological hazards. In contrast, areas with good geological stability can appropriately increase injection intensity. By monitoring geological stability in real time and adjusting injection strategies accordingly, the long-term stability of the mining area is ensured.

[0032] The ambient temperature adjustment factor accounts for the impact of the mine's real-time ambient temperature on the injection process. Temperature fluctuations can affect the viscosity and permeability of the fluid, as well as the stability of the rock formations within the mine. Therefore, the injection intensity needs to be adjusted based on temperature data. For example, at low temperatures, the fluid may flow less readily, necessitating an increase in injection intensity. Meanwhile, at high temperatures, the fluid may flow more rapidly, necessitating a decrease in injection intensity. By adjusting the injection intensity based on real-time ambient temperature data, we can adapt to varying environmental conditions, optimize injection results, and minimize negative impacts on the mine environment.

[0033] Real-time liquid level data can be acquired by installing liquid level sensors in groundwater wells or other liquid injection / discharge systems throughout the mining area. These sensors monitor and record liquid level changes in real time, with data typically transmitted wirelessly or via a wired network to a central monitoring system. The accuracy and update frequency of the sensors directly impact the quality of the liquid level data. Geological sensors or strain gauges can be installed at key locations within the mine to monitor the stability of the geological structure, including underground pressure, strain, and crack propagation data. Combined with seismic sensors or displacement sensors, these sensors can monitor changes in geological stability in real time. This data is transmitted to a computing platform via a data acquisition system to generate a real-time geological stability index. Specifically, strain data indicates the degree of deformation of a rock formation or geological structure under external pressure or force. Strain, typically measured by strain gauges or displacement sensors, reflects the degree of deformation of the rock formation or ore body. Excessive rock strain may indicate unstable geological changes, such as deformation or fracture, within the mining area. Ground pressure refers to changes in pressure within the mine subsurface and is typically monitored by ground pressure sensors. Changes in pressure may indicate changes in geological conditions deep within the mine, such as localized excess or loss of pressure, which can lead to ore instability. Crack propagation data indicates the growth of cracks within a rock formation or geological body. Crack propagation often indicates structural damage to the rock formation, possibly due to external pressure, temperature changes, or other factors. Crack propagation is typically monitored using crack propagation sensors. For example, the geological stability index can be calculated using the following formula:

[0034] GSI=w1×Strain+w2×Pressure+w3×Crack Expansion;

[0035] Where, GSI is the geological stability index; w1 is the preset strain weight coefficient; Strain is the strain data; w2 is the preset pressure coefficient; Pressure is the bottom pressure; w3 is the preset crack expansion coefficient; Crack Expansion is the crack expansion data;

[0036] The real-time liquid level data, geological stability index, and ambient temperature data obtained above are input into a pre-set rare earth mine zoning model. This model is a computational model constructed based on historical data and mine geological characteristics, and is used to analyze and predict the operating status of each mine zone. This model can simulate the impact of water level changes, geological stability, and temperature changes in the mine area on mine operations under different data conditions. Based on the calculation results of the zoning model, the model will output corresponding adjustment factors. The first liquid level adjustment factor is calculated based on changes in real-time liquid level data to adjust injection or drainage operations. The first geological stability adjustment factor, based on the assessment of the geological stability index, provides optimization measures to enhance mine safety. The ambient temperature adjustment factor adjusts injection operations based on real-time temperature data to prevent environmental changes from adversely affecting mine operations.

[0037] S102, inputting real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine.

[0038] Injection intensity can be used to describe the "intensity" or "force" of the injection process. It does not simply refer to the volume or flow rate of the injected liquid, but describes the "load" or "degree" of liquid injection per unit time. The injection intensity takes into account factors such as the injection effect of the liquid, the pressure during the injection process, the stability of the mining area, and comprehensively measures the impact of the liquid injection operation on the mining area. For example, if the geological stability of a mining area is poor, the injection intensity may need to be appropriately increased, which means injecting more liquid at a higher pressure or flow rate to help stabilize the geological conditions. Under other conditions, the injection intensity may need to be lowered to avoid unnecessary pressure on the mining environment.

[0039] The real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor can be input into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine.

[0040] On the basis of the above technical solution, an optional, preset injection intensity adjustment formula is:

[0041]

[0042] Among them, I adjusted is the injection intensity; I base is the preset reference injection intensity; β1 is the first liquid level adjustment factor; L real is the real-time liquid level data; L base is the preset reference liquid level; β2 is the first geological stability adjustment factor; S geois the geological stability index; S threshold is the preset geological stability threshold; β3 is the ambient temperature adjustment factor; T env is the real-time ambient temperature; T avg The preset reference ambient temperature.

[0043] In this solution, the preset baseline injection intensity can be a basic injection load level set in advance, based on the preliminary geological conditions of each subarea of the rare earth mine, historical injection experience, and geological model assessment results, before any real-time data changes occur. It is typically reflected as the system-specified liquid injection "load intensity" required per unit area per unit time under standard conditions (such as standard liquid level, standard geological stability, and standard temperature) to maintain uniform seepage, geological stability, and injection safety in the mining area.

[0044] The preset reference liquid level can be the normal liquid level height (such as the liquid level height in meters) that the liquid inside the mining area is expected to maintain under standard conditions. It is the safety liquid level baseline to ensure the stability of the geological structure, control the infiltration rate, and prevent liquid leakage.

[0045] The preset geological stability threshold can be the minimum allowable geological stability index value set in the geological safety assessment (generally a score or index, such as between 0 and 1 or 0 and 100). A value below this threshold indicates that the geological structure has become unstable and the injection operation needs to be cautious or even suspended.

[0046] The preset reference ambient temperature may refer to the standard temperature (usually expressed in degrees Celsius) applicable by default for liquid injection operations set by the rare earth mine subarea. It affects the viscosity, fluidity, and penetration rate of the liquid.

[0047] S103, sending the injection intensity to the injection system of each sub-area of the rare earth mine, so that the injection system can regulate the injection of each sub-area of the rare earth mine according to the injection intensity.

[0048] An injection system refers to a mechanical, electronic, and automated control system used to inject liquids (such as water or chemical solutions) into specific areas or subareas within a mine or underground mining area. This system is responsible for injecting liquids into different areas of the mining area according to set parameters through pipes, pumps, control valves, and other equipment to meet geological stability, environmental protection, or other production goals. The injection system not only includes liquid transportation but also typically includes automated control, monitoring, and feedback mechanisms to adjust and optimize the injection process based on real-time data.

[0049] The calculated injection intensity can be sent to the injection system's control module via a data transmission system (e.g., an industrial communication protocol such as Modbus or CAN bus). The injection system houses a control module (typically a PLC or automated control system) that receives the injection intensity parameters and converts them into specific operating instructions to adjust various parameters of the injection process. The control module adjusts the injection pump's flow rate, pressure, and injection time based on the required injection intensity. The injection pump's flow rate is proportional to the injection intensity; higher intensity increases the pump's flow rate and pressure, while lower intensity decreases them. The valve opening is also adjusted based on the intensity to ensure the liquid flow meets the requirements.

[0050] In this embodiment of the present application, real-time liquid level data, geological stability index, and real-time ambient temperature are obtained for each sub-area of a rare earth mine. These data, geological stability index, and real-time ambient temperature are input into a preset rare earth mine sub-area model to obtain a first liquid level adjustment factor, a first geological stability adjustment factor, and an ambient temperature adjustment factor. These data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor, and ambient temperature adjustment factor are then input into a preset injection intensity adjustment formula to obtain the injection intensity for each sub-area of the rare earth mine. The injection intensity is then transmitted to the injection system for each sub-area of the rare earth mine, which then regulates the injection intensity for each sub-area of the rare earth mine based on the injection intensity. This intelligent control method for sub-area injection of rare earth mines based on liquid level monitoring, by inputting data such as real-time liquid level, geological stability, and ambient temperature into a preset model, can accurately calculate the adjustment factor based on the specific conditions of the mining area, thereby ensuring precise adjustment of the injection intensity. This not only helps improve the geological stability of the mining area, but also reduces the environmental impact caused by improper injection, avoiding resource waste and potential safety hazards in the mining area. At the same time, the automated injection control system can improve operational efficiency, reduce human intervention, and ensure the continuous optimization and sustainability of the injection process.

[0051] Figure 2 This is a flow chart of a method for intelligently controlling liquid injection in a rare earth mine based on liquid level monitoring provided in an embodiment of the present application. The method may include the following steps:

[0052] S201, obtaining real-time liquid level data, geological stability index and real-time ambient temperature of each partition of the rare earth mine, inputting the real-time liquid level data, geological stability index and real-time ambient temperature into a preset rare earth mine partition model, and obtaining a first liquid level adjustment factor, a first geological stability adjustment factor and an ambient temperature adjustment factor.

[0053] S202, inputting the real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine.

[0054] S203, obtaining the ore body permeability data of each partition of the rare earth mine, inputting the real-time liquid level data, geological stability index and ore body permeability data into a preset rare earth mine partition model, and obtaining a second liquid level adjustment factor, a second geological stability adjustment factor and an ore body permeability adjustment factor.

[0055] Ore body permeability data can be the permeability characteristics of rock formations in a mining area, indicating the ability of liquids or gases to flow through the rock or soil. Specifically, ore body permeability refers to the ability of the underground rock formations in a mining area to "permeate" the passage of liquids (such as water, injection fluids, etc.). Its value is generally determined by the porosity, fracture network, and chemical and physical properties of the rock. Liquids flow faster in areas of high permeability, while liquids flow slower in areas of low permeability. Ore body permeability data can be obtained through methods such as geological exploration, porosity analysis, and permeability testing.

[0056] The second level adjustment factor can be used to adjust the injection rate based on the liquid level data in the mine. When the liquid level is high, the injection rate may need to be reduced to prevent the liquid from accumulating too quickly and causing excessive pressure. When the liquid level is low, the injection rate may need to be increased to ensure that the liquid penetrates and fills the voids in the mine. By monitoring real-time liquid level data and adjusting the injection rate according to changes in the liquid level, the uniformity of liquid injection within the mine is ensured, avoiding over-injection or under-injection.

[0057] The second geological stability adjustment factor adjusts the injection rate based on the mining area's geological stability index. In areas with poor geological stability, the injection rate may need to be reduced to avoid excessive pressure caused by rapid injection, which could lead to geological hazards. In areas with good geological stability, the injection rate can be increased to complete the injection operation more quickly.

[0058] The ore body permeability adjustment factor adjusts the injection rate based on the ore body's permeability data. In areas of high permeability, liquids penetrate more quickly, so the injection rate can be increased appropriately. In areas of low permeability, liquids penetrate more slowly, so the injection rate should be reduced to avoid backlogs and increased pressure. Adjusting the injection rate based on the ore body's permeability ensures that liquids effectively penetrate the mining area while avoiding the negative effects of excessively rapid injection.

[0059] Dedicated permeability monitoring sensors (such as permeameters and geological sensors) can be installed at different depths and locations within the mining area. These sensors can monitor changes in the permeability of the ore body in real time and obtain permeability data for the soil or rock formations. This data can include characteristics such as the water permeability and porosity of the rock formations in the mining area. Alternatively, ore body permeability data can be obtained through geological survey reports and drilling data, combined with geological surveys and analysis. This data typically comes from geotechnical experiments conducted during the mine exploration phase and reflects the permeability characteristics of different rock and soil layers. After obtaining the ore body permeability data, combined with real-time liquid level data and geological stability indices, this data is input into a pre-set rare earth mine zoning model. The model then performs a comprehensive analysis based on the input data to determine the second liquid level adjustment factor, the second geological stability adjustment factor, and the ore body permeability adjustment factor.

[0060] S204: Input the second liquid level adjustment factor, the second geological stability adjustment factor, the ore body permeability adjustment factor, the real-time liquid level data, the geological stability index, and the ore body permeability data into a preset injection rate adjustment formula to obtain the injection rate of each zone of the rare earth mine.

[0061] The injection rate can refer to the speed at which the liquid is injected during the injection process, usually expressed as the amount of liquid flowing in per unit time. For example, it may be expressed as "how much liquid is injected per hour", and the usual unit is the volume flow unit, such as liters per hour (L / h) or cubic meters per hour (m 3 / h). Assuming the injection rate is 1000 liters / hour, this means that every hour, the injection system will inject 1000 liters of liquid. If the injection rate is increased (for example, to 2000 liters / hour), the liquid injection speed will be faster, and the corresponding injection volume will also increase in a shorter time.

[0062] The second liquid level adjustment factor, the second geological stability adjustment factor, the ore body permeability adjustment factor, the real-time liquid level data, the geological stability index and the ore body permeability data can be input into the preset injection rate adjustment formula, and the injection rate of each zone of the rare earth mine can be calculated by the formula.

[0063] On the basis of the above technical solution, an optional, preset injection rate adjustment formula is:

[0064]

[0065] Among them, R adjusted is the injection rate; γ1 is the second liquid level adjustment factor; L real is the real-time liquid level data; L base is the preset reference liquid level; γ2 is the ore body permeability adjustment factor; P permeability is the permeability data of the ore body; P thresholdis the preset ore body permeability threshold; γ3 is the second geological stability adjustment factor; S geo is the geological stability index; S threshold is the preset geological stability threshold.

[0066] In this scheme, the preset ore body permeability threshold refers to a pre-established benchmark value or range for evaluating whether the ore body's permeability meets the standard within each subarea of a rare earth mine. This threshold is typically set in advance based on historical seepage test data, geological structure type, ore particle size, fracture development, and hydrogeological survey results.

[0067] S205 , sending the injection intensity and the injection rate to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity and the injection rate.

[0068] The calculated injection intensity and injection rate are transmitted to the injection systems of various sections of the rare earth mine via wireless or wired communication protocols (such as industrial Ethernet, wireless sensor networks, Modbus, OPC, etc.). The communication system needs to ensure high efficiency and low latency in data transmission to ensure the real-time nature of the injection process. The liquid system is usually equipped with adjustable valves, pumps, flow controllers and other equipment. The injection system is connected to the data platform through a control interface (such as PLC, SCADA system, RTU, etc.) to receive adjustment instructions such as injection intensity and injection rate. The injection system adjusts the pump output, flow, pressure and other control parameters in real time based on the received injection intensity and rate data, thereby achieving precise injection volume and rate control.

[0069] The training process of the preset rare earth mine zoning model includes:

[0070] Multidimensional data is collected from each section of the rare earth mine, including real-time liquid level data, geological stability index, real-time ambient temperature, and ore body permeability data. This data can be obtained through sensors, monitoring equipment, and historical records within the mine. For each data sample, a corresponding label is generated. The label represents the target variable to be predicted: the first liquid level adjustment factor, the first geological stability adjustment factor, the ambient temperature adjustment factor (these are affected by the combination of liquid level, geological stability, and ambient temperature), the second liquid level adjustment factor, the second geological stability adjustment factor, and the ore body permeability adjustment factor (these are affected by the liquid level, geological stability, and ore body permeability data). For example, for a sample at a given time point, the input is (liquid level data, stability index, temperature, permeability, etc.), and the output is (the corresponding adjustment factor). Data cleaning and normalization are performed on different data features to ensure that the data of different dimensions are within the same scale (for example, liquid level may be in meters, temperature in degrees Celsius, and stability index is dimensionless). Combined features are generated, such as the interaction between liquid level and stability and the effect of temperature on stability. These features help the model better understand the inherent relationships in the data. Select an appropriate machine learning model, such as a decision tree, random forest, gradient boosted tree (GBDT), or neural network, for training. These models can learn the relationship between input features and adjustment factors using historical data. The dataset is then divided into a training set and a test set. The training set is used to train the model, and the test set is used to validate the model's performance. The goal of model training is to enable input data such as liquid level, stability, and temperature to predict the first liquid level adjustment factor, the first geological stability adjustment factor, the ambient temperature adjustment factor, the second liquid level adjustment factor, the second geological stability adjustment factor, and the ore body permeability adjustment factor. The test set is used to evaluate the model's accuracy by examining the deviation between the predicted adjustment factors and the observed data. Based on the evaluation results, the model's hyperparameters are optimized, and adjustments are made to data preprocessing, feature engineering, and model structure to further enhance the model's predictive capabilities. The trained model is deployed in the rare earth mine's monitoring and control system, which receives real-time liquid level data, geological stability index, and ore body permeability data from each zone. The model's predictions generate adjustment factors to guide the operation of the injection control system.

[0071] In this embodiment, by adjusting the injection intensity and rate based on the permeability and stability index of the mining area, it is possible to effectively avoid excessive injection in unstable areas, which could lead to ore body collapse or other potential geological disasters. Precise injection control helps enhance the stability of the mining area. During the injection process, appropriate injection intensity and rate can accelerate ore body permeability, crack expansion, and geological body stabilization, thereby improving mining efficiency. Appropriate control of injection intensity and rate can help accelerate ore mining progress and reduce operating costs.

[0072] Based on the above technical solution, optionally, after the injection intensity and the injection rate are sent to the injection system of each sub-area of the rare earth mine, so that the injection system performs injection control of each sub-area of the rare earth mine according to the injection intensity and the injection rate, the method further includes:

[0073] The injection volume of each zone of the rare earth mine is calculated based on the injection rate, the preset injection time and the preset injection volume calculation formula; wherein the preset injection volume calculation formula is:

[0074] Q adjusted =R adjusted ×t;

[0075] Among them, Q adjusted is the injection volume; R adjusted is the injection rate; t is the preset injection time;

[0076] Accordingly, the injection intensity and the injection rate are sent to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity, including:

[0077] The injection intensity, injection rate and injection amount are sent to the injection system of each sub-area of the rare earth mine, so that the injection system can regulate the injection of each sub-area of the rare earth mine according to the injection intensity, injection rate and injection amount.

[0078] In this solution, the preset injection time can refer to the pre-set duration of the injection process. This is a fixed time window that indicates how long the injection operation should last to complete the entire injection process. The preset injection time is usually determined based on factors such as the mining area's operational needs, geological conditions, and injection intensity, ensuring that the injection process stabilizes mining conditions and efficiently completes the injection process.

[0079] The injection rate refers to the total amount of liquid injected into the ore body during the injection process. It is typically expressed in units of volume (e.g., cubic meters) and determines the overall injection volume. The injection rate is determined by factors such as the geological stability of the mining area, the permeability of the liquid, and the injection rate to ensure that the injection process effectively affects the ore body conditions without excessive injection that causes unnecessary pressure or wastes resources.

[0080] The injection rate and preset injection time are substituted into the preset injection volume calculation formula to calculate the injection volume for each section of the rare earth mine. The calculated injection intensity, injection rate, and injection volume are then sent to the mine's injection system. This data serves as the basis for the system to control injection operations. After receiving these parameters, the injection system executes the injection operation according to the preset control plan. It adjusts the injection flow rate (injection rate) and total injection volume (injection volume), while also controlling pressure, flow rate, and other factors during the injection process to ensure ore body stability and operational safety.

[0081] In this solution, by precisely controlling the injection volume and rate, efficient and accurate injection regulation of rare earth mines is achieved, ensuring the permeability and geological stability of the ore body.

[0082] Based on the above technical solution, optionally, after sending the injection intensity, the injection rate, and the injection volume to the injection systems of each subarea of the rare earth mine, the method further includes:

[0083] Obtain the water quality, soil quality, air quality, and vegetation health status of each sub-area of the rare earth mine, and input the water quality, soil quality, air quality, and vegetation health status into a preset environmental assessment model to obtain the environmental score of each sub-area of the rare earth mine;

[0084] If the environmental score is higher than a preset score threshold, reacquiring real-time liquid level data, geological stability index, and real-time ambient temperature of each subarea of the rare earth mine after a preset collection time interval, re-inputting the real-time liquid level data, geological stability index, and real-time ambient temperature into a preset rare earth mine subarea model, and updating the first liquid level adjustment factor, the first geological stability adjustment factor, and the ambient temperature adjustment factor;

[0085] The real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor are re-input into the preset injection intensity adjustment formula to update the injection intensity of each zone of the rare earth mine.

[0086] In this plan, the water source quality can be the pollution status and water quality indicators of water bodies (such as groundwater, surface water, and mining wastewater) near each sub-area of the rare earth mine, such as: pH value, heavy metal ion content (such as lanthanum, cerium, uranium, etc.), suspended matter concentration, chemical oxygen demand (COD), and total organic carbon (TOC).

[0087] Soil quality refers to the physical and chemical properties and pollution status of the soil in the mining area, including soil pH, heavy metal accumulation level (such as cadmium, lead, chromium, etc.), organic matter content, soil salinization degree, and soil microbial activity.

[0088] Air quality can refer to the concentration of pollutants in the air around the mine and the cleanliness of the air, such as:

[0089] PM2.5, PM10 concentration, SO2, NO x , CO and other gaseous pollutant concentrations, volatile organic compound (VOCs) content, and ambient ozone concentration.

[0090] Vegetation health status can refer to the growth activity and health of vegetation covering the mining area or surrounding areas, and can include normalized difference vegetation index (NDVI), chlorophyll content, vegetation cover rate, and plant damage rate (such as leaf wilting and yellowing).

[0091] The preset environmental assessment model is a trained machine learning model or a rule model designed based on an expert knowledge system. It comprehensively analyzes the input indicators such as water quality, soil quality, air quality, and vegetation health, and outputs a unified environmental score. This model can be a traditional regression model (such as linear regression, polynomial regression), a comprehensive scoring model (such as weighted scoring, setting weights for each indicator), a machine learning model (such as random forest, neural network), or a scoring rule system customized based on the Environmental Impact Assessment Standard (EIA standard). Typically, the model will have feature normalization processing, different indicator weights configured, and finally output a comprehensive score value.

[0092] The environmental score is a numerical value output by the model, typically ranging from 0 to 100. It represents the current ecological and environmental conditions of each subarea within the rare earth mine. A higher score indicates a better environment; a lower score indicates a more severely damaged or polluted environment.

[0093] The preset collection interval is the time period set by the system to recollect and analyze environmental data. It is a fixed length of time.

[0094] By deploying environmental monitoring systems in various areas of the rare earth mine, data on water quality, soil quality, air quality and vegetation health status of each area can be obtained. Water quality data can be collected in real time through water quality sensors (such as pH meters, heavy metal ion detectors, COD detectors) installed in surface water bodies, groundwater wells or mining wastewater treatment stations in the mining area. Soil quality data can be obtained by setting up ground soil sampling points, using soil quality monitoring equipment or by regularly using drones equipped with multispectral imaging equipment to obtain surface soil pollution indicators, and combining them with data measured by soil sensors (such as heavy metal content, organic matter levels). Air quality data can be collected in real time by deploying air quality monitoring stations in the mining area to collect PM2.5, PM10, SO2, NO x, VOCs, and other major pollutant concentrations. Vegetation health data can be collected through drone remote sensing systems or ground-based monitoring systems, including indicators such as the Normalized Difference Vegetation Index (NDVI), chlorophyll concentration, and vegetation cover, to assist in analyzing vegetation growth activity and health. The acquired water quality, soil quality, air quality, and vegetation health data are fed into a pre-set environmental assessment model. The model normalizes and calculates a comprehensive score based on the characteristic weights of each environmental indicator, outputting an environmental score for each sub-area of the rare earth mine. This score, typically expressed as a numerical value ranging from 0 to 100, provides a visual reflection of the overall ecological and environmental status of each sub-area. The system compares the resulting environmental score with a preset threshold. If the environmental score exceeds the threshold (i.e., the mining area's environmental conditions meet or exceed management requirements), the system proceeds to the next step. If it falls below the threshold, an alarm may be triggered or environmental remediation measures may be initiated, temporarily suspending further injection and control measures. If the environmental score meets the requirements, the system waits at a preset collection interval (e.g., every 6 or 12 hours). The collection interval is set to avoid resource waste caused by overly frequent data collection while ensuring real-time and responsive injection control. After the collection interval expires, the system reacquires real-time liquid level data, geological stability index, and ambient temperature data for each zone of the rare earth mine. Liquid level data is acquired using liquid level sensors installed in injection pipelines or groundwater monitoring wells. The geological stability index is calculated using equipment such as geostress monitors and settlement monitors. Real-time ambient temperature is collected in real time using ambient temperature sensors within the mine area. The reacquired liquid level data, geological stability index, and ambient temperature are fed into a pre-set rare earth mine zoning model. Based on this input data, the model dynamically updates the first liquid level adjustment factor, the first geological stability adjustment factor, and the ambient temperature adjustment factor. These factors are used to modify the injection plan based on current temperature fluctuations to mitigate temperature-induced changes in geological stress or fluidity. These real-time liquid level data, geological stability index, and ambient temperature, along with the updated first liquid level adjustment factor, first geological stability adjustment factor, and ambient temperature adjustment factor, are then fed into a pre-set injection intensity adjustment formula. The injection intensity adjustment formula comprehensively analyzes various input quantities, calculates and outputs the new injection intensity value for each zone of the rare earth mine.

[0095] In this plan, through this process, it is possible to achieve intelligent, dynamic and efficient injection management of each section of the rare earth mine while ensuring the geological stability and ecological environmental sustainability of the mining area.

[0096] Based on the above technical solution, optionally, after obtaining the environmental scores of each subarea of the rare earth mine, the method further includes:

[0097] If the environmental score is higher than a preset score threshold, reacquire the ore body permeability data of each subarea of the rare earth mine after a preset collection time interval, re-input the real-time liquid level data, geological stability index and ore body permeability data into a preset rare earth mine subarea model, and update the second liquid level adjustment factor, the second geological stability adjustment factor and the ore body permeability adjustment factor;

[0098] Re-inputting the second liquid level adjustment factor, the second geological stability adjustment factor, the ore body permeability adjustment factor, the real-time liquid level data, the geological stability index, and the ore body permeability data into the preset injection rate adjustment formula to update the injection rate of each subarea of the rare earth mine;

[0099] The injection volume of each zone of the rare earth mine is updated according to the injection rate, the preset injection time and the preset injection volume calculation formula; wherein the preset injection volume calculation formula is:

[0100] Q adjusted =R adjusted ×t;

[0101] Among them, Q adjusted is the injection volume; R adjusted is the injection rate; t is the preset injection time;

[0102] The injection intensity, injection rate and injection amount are resent to the injection system of each partition of the rare earth mine, so that the injection system can regulate the injection of each partition of the rare earth mine according to the injection intensity, injection rate and injection amount.

[0103] In this solution, when the system's environmental score exceeds a preset threshold, the system periodically updates relevant parameters based on a preset collection interval. First, the system reacquires ore permeability data for each subarea of the rare earth mine. Combined with real-time liquid level data and a geological stability index, this data is input into a pre-defined rare earth mine subarea model to update the second liquid level adjustment factor, the second geological stability adjustment factor, and the ore permeability adjustment factor. These adjustment factors enable the model to more accurately reflect the current conditions and potential changes in the mining area. Next, the updated factors and real-time data are input into a pre-defined injection rate adjustment formula to generate an updated injection rate. This step ensures that the injection rate is more adaptable to current changes in the mining area, such as changes in liquid level, geological stability, and ore permeability. Adjusting the injection rate is crucial for controlling injection uniformity and effectiveness, preventing over-injection and under-injection, and ensuring the long-term stability of the mining area. After updating the injection rate, the system calculates the new injection volume using pre-defined injection time and volume calculation formulas. This calculation formula comprehensively considers the mining area's environmental and geological conditions, as well as the previously calculated injection rate. This process ensures coordination between injection volume, rate, and time, ensuring precise and efficient execution of injection operations. Finally, the system transmits the updated injection intensity, rate, and volume to the injection systems in each section of the rare earth mine. The injection system regulates these parameters, adjusting the actual injection process through automated control equipment to ensure optimal injection operations within the mine despite changing environmental and geological conditions. This process not only improves resource extraction efficiency within the mine but also effectively avoids geological instability and resource waste caused by excessive or improper injection, thereby ensuring long-term stability and sustainability of mine production.

[0104] This solution dynamically adjusts the injection process based on real-time fluid level data, geological stability index, orebody permeability, and other factors. This effectively prevents mine instability caused by excessive or insufficient injection, and reduces the risk of geological hazards such as orebody collapse and crack propagation. By regularly reassessing and updating injection-related parameters (such as injection rate and injection volume), the system automatically adjusts the injection strategy to adapt to changing mine conditions. This dynamic optimization ensures the flexibility of the injection process and its ability to adapt to complex environmental changes.

[0105] Based on the above technical solution, optionally, after obtaining the environmental scores of each subarea of the rare earth mine, the method further includes:

[0106] If the environmental score is lower than the preset score threshold, the injection intensity, injection rate, injection volume, water source quality, soil quality, air quality and vegetation health status are input into the preset environmental assessment model to obtain injection adjustment suggestions, and the injection adjustment suggestions are sent to the control center.

[0107] In this scenario, the pre-defined environmental assessment model can be a data-driven mathematical model designed to assess the environmental status of the mine site and the environmental impact of the injection operation. It may include multiple input variables, such as water quality, soil quality, air quality, vegetation health, injection intensity, injection rate, and injection volume. The model uses these input variables to comprehensively assess the current environmental status of the mine and generates an environmental score based on these assessment results. If the environmental score falls below a pre-defined threshold, the model will calculate the necessary adjustments to optimize the injection plan and minimize the environmental impact of the mining process.

[0108] Injection adjustment recommendations can be solutions calculated by the environmental assessment model based on real-time data input to adjust the current injection process to reduce environmental risks or improve environmental conditions. This recommendation may include adjusting the specific values of injection intensity, injection rate, and injection volume, or making other operational adjustment recommendations, such as changing the injection time interval, adjusting the injection area, and even recommending some additional environmental protection measures (for example, adjusting water source use or soil improvement). The purpose of these recommendations is to ensure that the mine's production operations meet environmental protection requirements while maintaining the efficient use of resources.

[0109] If the environmental score falls below a preset threshold, the injection intensity, injection rate, injection volume, environmental score, water source quality, soil quality, air quality, and vegetation health are input into a pre-set environmental assessment model. Based on this input data, the environmental assessment model performs a comprehensive analysis and calculates injection adjustment recommendations. These recommendations may include adjusting the injection intensity: increasing or decreasing the injection intensity to minimize environmental impact based on the mine's current environmental conditions. For example, if soil quality is poor or vegetation health is poor, the injection intensity may need to be reduced to avoid further environmental damage. Adjusting the injection rate: adjusting the injection rate based on changes in air or water quality to reduce contamination caused by excessive fluid inflow into the mine area. Adjusting the injection volume: if the environmental score is low and environmental pressures are present, the total injection volume may need to be reduced to avoid excessive environmental burden. Other operational adjustments may include changing the injection interval, adjusting the injection area selection, or implementing other environmental measures (such as improving soil improvement or strengthening air filtration). Once the environmental assessment model generates injection adjustment recommendations, they are transmitted to the control center via the data communication system. The control center, the core of mine management, receives, processes, and evaluates these adjustment recommendations. Based on these recommendations, the control center's staff or automated systems adjust the current injection process to ensure the environmental score returns to an acceptable range and prevent environmental degradation in the mine area due to excessive injection or environmental pollution.

[0110] The training process of the preset environmental assessment model includes:

[0111] The pre-set environmental assessment model can be divided into two modules for separate training, each handling two tasks: an environmental score prediction module and an injection adjustment recommendation prediction module. These two modules can share certain input features (such as water quality and soil quality), but their outputs and objectives are different, so they are trained separately. Environmental data can be collected for each sub-area of the rare earth mine, including water quality, soil quality, air quality, and vegetation health. Data on the injection process, such as injection intensity, injection rate, and injection volume, can also be collected. Based on actual operations, labels for the two tasks are prepared: The environmental score label: This is based on the environmental quality of the mining area (such as water, soil, and air quality), calculated using expert ratings or historical data, and is typically a continuous value (e.g., an environmental score between 0 and 100). The injection adjustment recommendation label: This defines an action recommendation based on whether the environmental score falls below a preset threshold, as well as current environmental quality and injection data. Recommendations may include increasing, decreasing, or maintaining the same (a categorical label, such as "increase injection," "reduce injection," or "maintain").

[0112] The training of the environment score prediction module includes:

[0113] Based on environmental data (such as water quality, soil quality, air quality, vegetation health, etc.), predict the environmental scores of each zone of the mine. This is usually a regression problem, and traditional regression algorithms (such as linear regression, decision tree regression, random forest regression, etc.) or deep learning methods (such as multi-layer perceptron (MLP) network, etc.) can be used. Environmental data is used as input features (such as water quality, soil quality, air quality, and vegetation health, etc.). Environmental scores in historical data are used as labels. The mean square error (MSE) is used as the loss function to optimize the model so that it can accurately predict the environmental score. Use the validation set to evaluate the performance of the model to ensure the accuracy of the environmental score prediction.

[0114] The training of the injection adjustment suggestion prediction module includes:

[0115] Based on the environmental score and other operational data, predict the corresponding injection adjustment recommendations. This part is a classification problem. The model needs to decide whether to adjust the injection strategy based on the environmental score (such as whether it is below the threshold) and the current environmental data (such as water quality, soil quality, etc.). Use classification algorithms such as decision tree classification, support vector machine (SVM), deep neural network (DNN), etc., or classification heads in multi-task learning. Injection intensity, injection rate, injection volume, water quality, soil quality, air quality, and vegetation health status are used as input features. Injection adjustment recommendations are used as labels, such as "increase injection", "reduce injection", or "remain unchanged". The cross entropy loss function is used to optimize the performance of the classification model. Use the validation set to evaluate the model to ensure the accuracy of the injection adjustment recommendations.

[0116] The model training process is:

[0117] First, the environmental score prediction module predicts the environmental score. This part of the training uses a regression approach, outputting a continuous environmental score. The model optimization objective is to minimize the error between the predicted score and the true score. Based on the environmental score predicted by the environmental score prediction module and other relevant operational data (such as injection intensity, rate, and volume), the injection adjustment recommendation prediction module outputs a classification result (injection adjustment recommendation). This part of the training uses a classification approach, with the optimization objective of predicting the injection adjustment strategy based on the classification task. In some cases, a multi-task learning framework can be used to train both modules. Multi-task learning uses a shared input layer (such as environmental data) to simultaneously optimize two tasks (environmental score prediction and injection adjustment recommendation prediction). By using a joint loss function, the model can simultaneously optimize the accuracy of both environmental score prediction and injection adjustment recommendation classification. Another approach is to train the two modules separately. First, train the environmental score prediction module to optimize the regression problem. Next, use the environmental score prediction results and other features to train the injection adjustment recommendation prediction module to optimize the classification task. The trained model is evaluated using cross-validation, confusion matrix (for classification), and mean squared error (for regression). Based on the evaluation results, hyperparameters (such as learning rate, regularization coefficient, etc.) are adjusted to optimize the model.

[0118] In this solution, the environmental assessment model automatically adjusts the injection strategy based on real-time environmental data (such as water quality, soil quality, and air quality) and injection operation data, ensuring a more efficient and economical mine injection process. By reducing overinjection and unnecessary adjustments, this not only reduces costs but also avoids the waste of environmental resources.

[0119] Figure 3 The present invention provides a schematic block diagram of a rare earth mine zone injection intelligent control system based on liquid level monitoring. The system includes:

[0120] The data acquisition module 301 is used to obtain real-time liquid level data, geological stability index, and real-time ambient temperature of each partition of the rare earth mine, input the real-time liquid level data, geological stability index, and real-time ambient temperature into a preset rare earth mine partition model, and obtain a first liquid level adjustment factor, a first geological stability adjustment factor, and an ambient temperature adjustment factor;

[0121] The injection intensity calculation module 302 is used to input the real-time liquid level data, the geological stability index, the real-time ambient temperature, the first liquid level adjustment factor, the first geological stability adjustment factor, and the ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine;

[0122] The data sending module 303 is used to send the injection intensity to the injection system of each sub-area of the rare earth mine, so that the injection system can control the injection of each sub-area of the rare earth mine according to the injection intensity.

[0123] Figure 4 A schematic block diagram of an electronic device 400 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0124] The electronic device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a ROM 402 or a computer program loaded from a storage unit 408 into a RAM 403. The RAM 403 may also store various programs and data required for the operation of the electronic device 400. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O interface 405 is also connected to the bus 404.

[0125] Multiple components in the electronic device 400 are connected to the I / O interface 405, including an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a magnetic disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0126] The computing unit 401 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as the method for intelligently controlling the injection of liquid in a rare earth mine based on liquid level monitoring. For example, in some embodiments, the method for intelligently controlling the injection of liquid in a rare earth mine based on liquid level monitoring can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the computing unit 401, one or more steps of the method for intelligently controlling the injection of liquid in a rare earth mine based on liquid level monitoring described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the intelligent control method for rare earth mine zoning injection based on liquid level monitoring in any other appropriate manner (for example, by means of firmware).

[0127] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0128] The program code for implementing the methods of the present application can be written in any combination of one or more programming languages. Such program code can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the program code is executed by the processor or controller, the functions / operations specified in the flow charts and / or block diagrams are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0129] In the context of the present application, a machine-readable medium can be a tangible medium that can contain or store a program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared or semiconductor system, device or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0130] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0131] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0132] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact through a communication network. The client-server relationship arises through computer programs running on the respective computers and having a client-server relationship with each other. The server may be a cloud server, a server in a distributed system, or a server integrated with a blockchain.

[0133] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this application can be achieved. This is not a limitation herein.

[0134] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. A method for intelligent control of rare earth mine zoning injection based on liquid level monitoring, characterized in that: The method comprises: Acquiring real-time liquid level data, geological stability index, and real-time ambient temperature of each partition of the rare earth mine, inputting the real-time liquid level data, geological stability index, and real-time ambient temperature into a preset rare earth mine partition model to obtain a first liquid level adjustment factor, a first geological stability adjustment factor, and an ambient temperature adjustment factor; Input the real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine; The injection intensity is sent to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity.

2. The method according to claim 1, characterized in that in, After inputting the real-time liquid level data, the geological stability index, the real-time ambient temperature, the first liquid level adjustment factor, the first geological stability adjustment factor, and the ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine, the method further includes: Obtaining ore body permeability data for each subarea of the rare earth mine, inputting the real-time liquid level data, geological stability index, and ore body permeability data into a preset rare earth mine subarea model to obtain a second liquid level adjustment factor, a second geological stability adjustment factor, and an ore body permeability adjustment factor; Inputting the second liquid level adjustment factor, the second geological stability adjustment factor, the ore body permeability adjustment factor, the real-time liquid level data, the geological stability index, and the ore body permeability data into a preset injection rate adjustment formula to obtain the injection rate for each zone of the rare earth mine; Accordingly, the injection intensity is sent to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity, including: The injection intensity and the injection rate are sent to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity and the injection rate.

3. The method according to claim 2, characterized in that in, After the injection intensity and the injection rate are sent to the injection systems of each subarea of the rare earth mine, and the injection systems regulate the injection of each subarea of the rare earth mine according to the injection intensity and the injection rate, the method further includes: The injection volume of each zone of the rare earth mine is calculated based on the injection rate, the preset injection time and the preset injection volume calculation formula; wherein the preset injection volume calculation formula is: Q adjusted =R adjusted ×t; Among them, Q adjusted is the injection volume; R adjusted is the injection rate; t is the preset injection time; Accordingly, the injection intensity and the injection rate are sent to the injection system of each subarea of the rare earth mine, so that the injection system can regulate the injection of each subarea of the rare earth mine according to the injection intensity, including: The injection intensity, injection rate and injection amount are sent to the injection system of each sub-area of the rare earth mine, so that the injection system can regulate the injection of each sub-area of the rare earth mine according to the injection intensity, injection rate and injection amount.

4. The method according to claim 1, wherein in, The preset injection intensity adjustment formula is: Among them, I adjusted is the injection intensity; I base is the preset reference injection intensity; β1 is the first liquid level adjustment factor; L real is the real-time liquid level data; L base is the preset reference liquid level; β2 is the first geological stability adjustment factor; S geo is the geological stability index; S threshold is the preset geological stability threshold; β3 is the ambient temperature adjustment factor; T env is the real-time ambient temperature; T avg The preset reference ambient temperature.

5. The method according to claim 2, characterized in that in, The preset injection rate adjustment formula is: Among them, R adjusted is the injection rate; γ1 is the second liquid level adjustment factor; L real is the real-time liquid level data; L base is the preset reference liquid level; γ2 is the ore body permeability adjustment factor; P permeability is the permeability data of the ore body; P threshold is the preset ore body permeability threshold; γ3 is the second geological stability adjustment factor; S geo is the geological stability index; S threshold is the preset geological stability threshold.

6. The method according to claim 3, characterized in that in, After sending the injection intensity, the injection rate, and the injection volume to the injection systems of each subarea of the rare earth mine, the method further includes: Obtain the water quality, soil quality, air quality, and vegetation health status of each sub-area of the rare earth mine, and input the water quality, soil quality, air quality, and vegetation health status into a preset environmental assessment model to obtain the environmental score of each sub-area of the rare earth mine; If the environmental score is higher than a preset score threshold, reacquiring real-time liquid level data, geological stability index, and real-time ambient temperature of each subarea of the rare earth mine after a preset collection time interval, re-inputting the real-time liquid level data, geological stability index, and real-time ambient temperature into a preset rare earth mine subarea model, and updating the first liquid level adjustment factor, the first geological stability adjustment factor, and the ambient temperature adjustment factor; The real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor and ambient temperature adjustment factor are re-input into the preset injection intensity adjustment formula to update the injection intensity of each zone of the rare earth mine.

7. The method according to claim 6, characterized in that in, After obtaining the environmental scores for each subarea of the rare earth mine, the method further includes: If the environmental score is higher than a preset score threshold, reacquire the ore body permeability data of each subarea of the rare earth mine after a preset collection time interval, re-input the real-time liquid level data, geological stability index and ore body permeability data into a preset rare earth mine subarea model, and update the second liquid level adjustment factor, the second geological stability adjustment factor and the ore body permeability adjustment factor; Re-inputting the second liquid level adjustment factor, the second geological stability adjustment factor, the ore body permeability adjustment factor, the real-time liquid level data, the geological stability index, and the ore body permeability data into the preset injection rate adjustment formula to update the injection rate of each subarea of the rare earth mine; The injection volume of each zone of the rare earth mine is updated according to the injection rate, the preset injection time and the preset injection volume calculation formula; wherein the preset injection volume calculation formula is: Q adjusted =R adjusted ×t; Among them, Q adjusted is the injection volume; R adjusted is the injection rate; t is the preset injection time; The injection intensity, injection rate and injection amount are resent to the injection system of each partition of the rare earth mine, so that the injection system can regulate the injection of each partition of the rare earth mine according to the injection intensity, injection rate and injection amount.

8. The method according to claim 6, characterized in that in, After obtaining the environmental scores for each subarea of the rare earth mine, the method further includes: If the environmental score is lower than the preset score threshold, the injection intensity, injection rate, injection volume, water source quality, soil quality, air quality and vegetation health status are input into the preset environmental assessment model to obtain injection adjustment suggestions, and the injection adjustment suggestions are sent to the control center.

9. An intelligent control system for zoning injection of rare earth mines based on liquid level monitoring, used to execute the method according to any one of claims 1 to 8, characterized in that: The system comprises: a data acquisition module for acquiring real-time liquid level data, a geological stability index, and a real-time ambient temperature of each partition of the rare earth mine, inputting the real-time liquid level data, the geological stability index, and the real-time ambient temperature into a preset rare earth mine partition model, and obtaining a first liquid level adjustment factor, a first geological stability adjustment factor, and an ambient temperature adjustment factor; An injection intensity calculation module is used to input real-time liquid level data, geological stability index, real-time ambient temperature, first liquid level adjustment factor, first geological stability adjustment factor, and ambient temperature adjustment factor into a preset injection intensity adjustment formula to obtain the injection intensity of each zone of the rare earth mine; The data sending module is used to send the injection intensity to the injection system of each partition of the rare earth mine, so that the injection system can control the injection of each partition of the rare earth mine according to the injection intensity.

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

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