Coal and uranium coordinated mining control method and device based on groundwater monitoring

Abstract

The application provides a coal and uranium coordinated mining control method and device based on groundwater monitoring, and relates to the technical field of drilling mining control. The method comprises the following steps: obtaining multi-layer groundwater monitoring data of a transition zone between a coal mining area and a uranium mining area; determining the degree of hydraulic influence of each mining subzone of the coal mining area on the uranium mining area based on the multi-layer groundwater monitoring data, and dividing the mining priority according to the degree of hydraulic influence; in response to the fact that the drawdown of the water level of a target aquifer of the uranium mining area reaches a preset safety threshold, dynamically adjusting the coal mining advancing direction and the uranium mining retreating direction based on the mining priority, so that the active mining face of the coal mine and the active mining face of the uranium mine are mismatched in space. The application can reduce the risk of superposition of drawdown cones of the two mining disturbance zones, and relieve the hydraulic disturbance of the coal mine water drainage on the target aquifer of the uranium mining area.

Description

Technical Field

[0001] This invention relates to the field of drilling and mining control technology, and in particular to a method and apparatus for coordinated coal and uranium mining control based on groundwater monitoring. Background Technology

[0002] The core of coordinated coal-uranium mining lies in avoiding the disruption of the injection-extraction balance of the uranium leaching flow field by coal mine drainage and the risk of coal mine pollution from uranium mining. If the drawdown cone of coal mine drainage affects the uranium mining area, it can cause the leaching solution to flow out of control or leak, resulting in the loss of uranium resources and radioactive groundwater pollution, and even coal mine water pollution. Traditional control methods mostly adopt a static approach of spatially delineating fixed avoidance coal pillars, which not only causes a huge waste of coal resources but also cannot cope with the disturbance and premature infiltration caused by water-conducting structures such as faults. At the same time, the existing mining sequence and direction planning lacks a closed-loop feedback mechanism with real-time groundwater level changes, which makes it easy for drawdown cones in adjacent mining areas to overlap positively in time and space, thereby inducing serious hydraulic disturbances. Summary of the Invention

[0003] This invention provides a method and apparatus for coordinated coal and uranium mining control based on groundwater monitoring, in order to solve the problem of how to prevent the spatiotemporal superposition of fallout cones and avoid the risk of leaching liquid leakage while ensuring the production capacity of both parties.

[0004] In a first aspect, embodiments of the present invention provide a method for coordinated coal and uranium mining control based on groundwater monitoring, comprising: acquiring multi-layer groundwater monitoring data of the transition zone between the coal mining area and the uranium mining area; determining the degree of hydraulic influence of each mining zone of the coal mining area on the uranium mining area based on the multi-layer groundwater monitoring data, and classifying mining priorities accordingly; and dynamically adjusting the coal mining advance direction and the uranium mining retreat direction based on the mining priorities in response to the target aquifer drawdown in the uranium mining area reaching a preset safety threshold, so as to keep the active coal mining face and the active uranium mining face spatially mismatched.

[0005] In one possible implementation, determining the degree of hydraulic impact of each mining zone in the coal mining area on the uranium mining area based on the multi-layer groundwater monitoring data, and classifying mining priorities accordingly, includes: calculating the hydraulic gradient, groundwater flow direction, and spatial distance between each mining zone and the uranium mining area based on the multi-layer groundwater monitoring data; performing a multi-parameter fusion evaluation based on the hydraulic gradient, groundwater flow direction, and spatial distance to obtain the degree of hydraulic impact; classifying mining zones with a hydraulic impact degree greater than a preset impact threshold as high priority, and the rest as low priority.

[0006] In one possible implementation, the multi-parameter fusion assessment based on the hydraulic gradient, groundwater flow direction, and spatial distance to obtain the degree of hydraulic influence includes: normalizing the hydraulic gradient, groundwater flow direction, and spatial distance respectively to obtain gradient normalized values, flow direction normalized values, and distance normalized values; weighting and summing the gradient normalized values, flow direction normalized values, and distance normalized values ​​based on preset weights to obtain an influence assessment score; and using the influence assessment score as the degree of hydraulic influence; wherein the preset weights are determined according to the distribution characteristics of the aquitard between each mining zone and the uranium mining area, and the more continuous the distribution of the aquitard, the greater the weight corresponding to the spatial distance.

[0007] In one possible implementation, the method of dividing the mining areas includes: obtaining geological structure distribution data between the coal mining area and the uranium mining area, the geological structure distribution data including the location information of faults and uplift zones; using the faults and uplift zones as natural hydraulic barriers, and combining the physical distance between each mining area and the uranium mining area, dividing the coal mining area into multiple mining areas.

[0008] In one possible implementation, the step of using the faults and uplift zones as natural hydraulic barriers, and combining the physical distances of each mining zone to the uranium mining area, to divide the coal mining area into multiple mining zones includes: identifying faults and uplift zones extending perpendicular to the line connecting the coal mining area and the uranium mining area as effective barriers; using the effective barriers as zone boundaries, identifying the area between two adjacent effective barriers as a candidate zone; merging the candidate zone with adjacent candidate zones when the width of the candidate zone along the line connecting the coal mining area and the uranium mining area is less than a preset minimum width; and sorting the merged candidate zones according to their physical distance from the uranium mining area from closest to furthest, and assigning them decreasing mining priorities accordingly.

[0009] In one possible implementation, the step of dynamically adjusting the coal mining advance direction and the uranium mining retreat direction based on the mining priority in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold includes: real-time monitoring of the target aquifer water level drawdown in the uranium mining area; when the target aquifer water level drawdown exceeds the preset safety threshold, generating a deceleration control command to reduce the advance speed in the coal mining advance direction, or generating an acceleration control command to increase the retreat speed in the uranium mining retreat direction; and when the target aquifer water level drawdown recovers to within the preset safety threshold, restoring the advance speed and the retreat speed to the baseline operating state.

[0010] In one possible implementation, generating the deceleration control command to reduce the advance speed in the coal mining advance direction includes: sending a frequency adjustment signal to the drainage equipment in the coal mine goaf to reduce the drainage frequency of the drainage pump; and / or sending a speed limit signal to the coal mining equipment to reduce the cutting advance speed of the coal mining machine; generating the acceleration control command to increase the retreat speed in the uranium mining retreat direction includes: sending a flow rate adjustment signal to the injection equipment in the uranium leaching area to increase the injection flow rate of the injection pump.

[0011] In one possible implementation, the dynamic adjustment of the coal mining advance direction and the uranium mining retreat direction to keep the active coal mining face and the active uranium mining face spatially mismatched includes: controlling the spatial angle between the normal vectors of the active mining faces of the coal mining advance direction and the uranium mining retreat direction to be greater than a preset angle threshold, so that the active coal mining face and the active uranium mining face are arranged in opposite directions or at a large angle.

[0012] In one possible implementation, the dynamic adjustment of the coal mining advance direction and the uranium mining retreat direction based on the mining priority further includes: sequentially starting coal mining operations in each of the mining zones according to the mining priority from high to low; before starting coal mining operations in the current mining zone, confirming that the target aquifer drawdown in the completed mining zones adjacent to the current mining zone has recovered to within the preset safety threshold; and coordinating the mining sequence of each mining zone and the uranium mining area according to the mining progress of each mining zone and the multi-layer groundwater monitoring data of the uranium mining area.

[0013] In one possible implementation, coordinating the mining sequence of each mining zone and the uranium mining area includes: for high-priority mining zones, simultaneous coal mining and uranium mining are permitted when the drawdown of the target aquifer in the uranium mining area is lower than the preset safety threshold; for low-priority mining zones, coal mining operations are suspended when the drawdown of the target aquifer in the uranium mining area approaches the preset safety threshold, until the drawdown of the target aquifer recovers to within the safety margin before mining resumes; wherein the safety margin is less than the preset safety threshold.

[0014] This application also provides a coordinated mining control system for coal-uranium associated deposits, comprising: a multi-layer groundwater monitoring module configured to simultaneously collect multi-layer dynamic water level data of multiple aquifers in the transition zone between the coal mining area and the uranium mining area; a flow field analysis module configured to identify the location of natural watersheds in the transition zone based on the multi-layer dynamic water level data, and determine the degree of hydraulic influence of each mining zone in the coal mining area on the uranium mining area; and a mining control module configured to dynamically adjust the coal mining advance direction and the uranium mining retreat direction based on the degree of hydraulic influence in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, so as to keep the active coal mining face and the active uranium mining face spatially mismatched.

[0015] In one possible implementation, the multi-layer groundwater monitoring module includes intrinsically safe sensor nodes deployed in the transition zone, and the mining control module includes a control server deployed in a ground dispatch center; the intrinsically safe sensor nodes and the control server transmit data via a mining wireless communication network; the control server is configured to issue control commands to underground coal mining equipment and drainage equipment via the mining wireless communication network.

[0016] Secondly, embodiments of the present invention provide a coal-uranium coordinated mining control device based on groundwater monitoring, comprising: The acquisition module is used to acquire multi-layer groundwater monitoring data in the transition zone between coal mining areas and uranium mining areas; The partitioning module is used to determine the degree of hydraulic impact of each mining zone of the coal mining area on the uranium mining area based on the multi-layer groundwater monitoring data, and to partition the mining priority accordingly. The adjustment module is used to dynamically adjust the coal mining advance direction and the uranium mining retreat direction based on the mining priority when the target aquifer drawdown in the uranium mining area reaches a preset safety threshold, so as to maintain a spatial mismatch between the active coal mining face and the active uranium mining face. Thirdly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described in the first aspect or any possible implementation thereof.

[0017] In this embodiment of the invention, by acquiring multi-layer groundwater monitoring data of the transition zone between the coal mining area and the uranium mining area, and determining the degree of hydraulic impact and mining priority of each mining zone in the coal mining area on the uranium mining area, the mining sequence and mining direction can be established on the basis of real-time hydrogeological feedback. When the drawdown of the target aquifer in the uranium mining area reaches the preset safety threshold, the mining advance direction of the coal mine and the mining retreat direction of the uranium mine are dynamically adjusted so that the active mining face of the coal mine and the active mining face of the uranium mine are spatially mismatched, thereby reducing the risk of the superposition of the drawdown funnels of the two mining disturbance zones and mitigating the hydraulic interference of coal mine drainage on the target aquifer in the uranium mining area. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating the implementation of the coal and uranium coordinated mining control method based on groundwater monitoring provided in this embodiment of the invention. Figure 2 This is a schematic diagram of the structure of the coal and uranium coordinated mining control device based on groundwater monitoring provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0020] like Figure 1 As shown in the figure, this embodiment provides a method for coordinated coal and uranium mining control based on groundwater monitoring. Specifically, the method includes the following steps: Step S101: Obtain multi-layer groundwater monitoring data in the transition zone between the coal mining area and the uranium mining area.

[0021] The execution subject of each embodiment of this application can be a server, processor, microprocessor, or other device with data processing capabilities. In actual implementation, the specific implementation method of the execution subject can be selected according to actual needs. This embodiment does not impose any special restrictions on this, as long as it is a device with data processing capabilities.

[0022] Specifically, multi-layer groundwater monitoring data is collected in real time by a network of multi-layer groundwater monitoring wells deployed in the transition zone and transmitted to the data processing center. This data includes real-time water level elevations of each aquifer, three-dimensional hydraulic gradient distributions, and the dynamic location of natural watersheds. It should be understood that this acquisition process is not a one-time read, but rather a continuous reception of data streams from the monitoring network to provide the latest physical and hydrogeological background for subsequent extraction control.

[0023] Specifically, the geological structure of the transition zone is characterized by alternating multi-layered structures of aquifers and impermeable layers. To achieve accurate monitoring, this embodiment first acquires geological structural feature data of the transition zone, including natural watershed areas, key hydraulic boundary locations, and areas where aquifers and impermeable layers alternately develop. When setting up the monitoring well network, monitoring nodes are set up at a first density in the natural watershed areas and key hydraulic boundary locations, and at a second density in the areas where aquifers and impermeable layers alternately develop, with the first density being greater than the second density. This non-uniform density deployment method concentrates monitoring resources in sensitive areas with drastic water level changes and boundary migration.

[0024] The multi-layer groundwater monitoring well network consists of multiple monitoring wells. To prevent artificial communication between different aquifers due to well penetration, each monitoring well employs a special layered water-stopping structure. This layered water-stopping structure includes: permeable perforated pipe sections installed along the depth direction corresponding to each aquifer within a single well; water-proof solid pipe sections installed between adjacent permeable perforated pipe sections; water-stopping material (such as bentonite or cement grout) is filled outside the water-proof solid pipe sections to form a physical water-proof layer, thereby cutting off the vertical flow channels between layers; and water level sensors are independently deployed inside each permeable perforated pipe section to achieve isolated monitoring of water levels in aquifers at different depths.

[0025] Dynamic water level data for each aquifer is synchronously collected through monitoring nodes in the multi-layer groundwater monitoring well network. The data acquisition frequency of each monitoring node is dynamically determined based on the permeability coefficient of each aquifer and the intensity of mining activities in the coal mining area. Specifically, a higher permeability coefficient and higher mining activity intensity indicate a faster response speed of groundwater to mining disturbances, thus the data acquisition frequency of that monitoring node is set higher; conversely, a lower acquisition frequency is used to reduce unnecessary data transmission power consumption. The collected dynamic water level data is transmitted to the data processing center via a mining wireless communication network.

[0026] Based on continuously received multi-layer water level dynamic data, the system first calculates the three-dimensional hydraulic gradient between adjacent monitoring nodes. Since the monitoring well network has nodes arranged in both the horizontal and vertical directions, the hydraulic gradient components in the horizontal and vertical directions are obtained by using the difference in water level elevation and spatial distance between adjacent nodes, and then synthesized to obtain the hydraulic gradient in three-dimensional space.

[0027] By combining three-dimensional hydraulic gradients and groundwater flow direction differentiation characteristics, the system can identify the location of natural watersheds within the transition zone. A natural watershed is a ridge line where groundwater flow directions diverge on both sides. In this embodiment, when the three-dimensional hydraulic gradient of a certain area approaches zero, and the groundwater flow direction vectors of adjacent monitoring nodes have a large angle and show opposite flow trends, the area can be identified as a natural watershed. Using the location of natural watersheds, the multi-layered hydraulic connections between coal mining areas and uranium mining areas can be accurately characterized.

[0028] In characterizing multi-layered hydraulic connections, the system determines the hydraulic connectivity paths between coal and uranium mining areas within each aquifer based on multi-layered water level dynamic data and the location of natural watersheds. Then, based on the distribution characteristics of the hydraulic gradients along these connectivity paths, the system determines the hydraulic connection strength. Specifically, each aquifer is divided into multiple segments along the hydraulic connectivity paths, and the average hydraulic gradient of each segment is calculated. Based on the average hydraulic gradient and the permeability coefficient of each segment, the groundwater seepage velocity is calculated. The system uses the groundwater seepage velocity as a quantitative indicator of the hydraulic connection strength; a higher seepage velocity indicates a stronger hydraulic connection.

[0029] In addition, the system obtains thickness distribution data for each aquitard through geological borehole data. Areas with thicknesses less than a preset thickness threshold in the thickness distribution data, and / or areas with sandstone or other permeable interlayers in the lithological description, are marked as weak areas of the aquitard. These weak areas are identified as vertical overflow recharge channels between aquifers. When an aquitard is missing or extremely thin at a certain location, coal mining causes a drop in the water level of the lower aquifer, and water from the upper aquifer will flow downwards through this overflow channel, thus transmitting the disturbance to the uranium deposit.

[0030] Step S102: Based on multi-layer groundwater monitoring data, determine the degree of hydraulic impact of each mining zone in the coal mining area on the uranium mining area, and classify mining priorities accordingly.

[0031] Specifically, due to the large area of ​​coal mining areas, the degree of groundwater disturbance caused by mining activities in different regions varies significantly. Based on acquired multi-layer groundwater monitoring data, the system comprehensively calculates the hydraulic gradient, groundwater flow direction, and spatial distance between each mining zone and the uranium mining area, thereby quantitatively assessing the hydraulic impact of each mining zone on the uranium mining area. According to the assessment results, the system classifies areas with higher hydraulic impact as high priority, meaning that mining activities in these areas require priority for time-series coordination and control; while areas with lower hydraulic impact are classified as low priority, and their mining activities pose less of a threat to the uranium mining area. This priority classification is not arbitrarily set but dynamically calculated based on real-time physical monitoring data, ensuring the scientific nature of the mining sequence arrangement.

[0032] In step S103, in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, the mining advance direction of the coal mine and the mining retreat direction of the uranium mine are dynamically adjusted based on the mining priority, so as to keep the active mining face of the coal mine and the active mining face of the uranium mine spatially mismatched.

[0033] Specifically, the drawdown of the target aquifer in a uranium mining area is the most direct physical indicator reflecting the disturbance caused by coal mining. The system monitors the drawdown of the target aquifer in the uranium mining area in real time. When the drawdown reaches a preset safety threshold, it indicates that the groundwater drawdown cone formed by coal mine drainage is approaching the uranium mining area, posing a risk of hydraulic interference. At this point, based on the aforementioned mining priorities, the system generates control commands to dynamically adjust the direction of coal mining advance and the direction of uranium mining retreat. For example, in terms of spatial layout, the active coal mining faces and active uranium mining faces are controlled to be arranged in opposite directions or at large angles, maintaining a spatial mismatch between the two. This spatial mismatch strategy reduces the superposition effect of the groundwater drawdown cone by increasing the distance between mines and utilizing spatial geometry, thereby minimizing the hydraulic interference of coal mining on the uranium mining area without the need for additional physical isolation engineering.

[0034] In this embodiment, by acquiring multi-layer groundwater monitoring data in the transition zone between the coal mining area and the uranium mining area, and based on this, determining the degree of hydraulic impact and mining priority of each mining zone in the coal mining area on the uranium mining area, the mining sequence and mining direction can be established on the basis of real-time hydrogeological feedback. When the drawdown of the target aquifer in the uranium mining area reaches the preset safety threshold, the mining advance direction of the coal mine and the mining retreat direction of the uranium mine are dynamically adjusted, so that the active mining face of the coal mine and the active mining face of the uranium mine are spatially mismatched, thereby reducing the risk of the superposition of the drawdown funnels of the two mining disturbance zones and mitigating the hydraulic interference of coal mine drainage on the target aquifer in the uranium mining area.

[0035] In one possible implementation, based on multi-layer groundwater monitoring data, the degree of hydraulic impact of each mining zone in the coal mining area on the uranium mining area is determined, and mining priorities are assigned accordingly. This includes: calculating the hydraulic gradient, groundwater flow direction, and spatial distance between each mining zone and the uranium mining area based on multi-layer groundwater monitoring data; performing a multi-parameter fusion evaluation based on the hydraulic gradient, groundwater flow direction, and spatial distance to obtain the degree of hydraulic impact; and classifying mining zones with a hydraulic impact degree greater than a preset impact threshold as high priority and the rest as low priority.

[0036] Specifically, due to the vast area and complex geological structure of coal mining areas, the groundwater disturbance paths and intensities generated by different mining zones on uranium mining areas vary significantly. The system first extracts the hydraulic head difference and spacing between the boundary nodes of each mining zone and the monitoring nodes in the uranium mining area from multi-layer groundwater monitoring data, calculating the three-dimensional hydraulic gradient. Simultaneously, based on the aforementioned groundwater flow direction data, the angle between the zone's water flow direction and the uranium mining area's water flow direction is extracted as a groundwater flow direction parameter. Furthermore, the physical distance from the geometric center of each zone to the boundary of the uranium mining area is calculated using a spatial coordinate system as a spatial distance parameter.

[0037] It should be understood that a single parameter cannot fully reflect the true hydraulic impact. For example, if a zone is spatially close but has a continuous aquifer between it and the uranium mining area, its actual hydraulic impact may be much smaller than that of a zone that is farther away but located in the same connected aquifer. Therefore, the system adopts a multi-parameter fusion assessment mechanism, comprehensively calculating the hydraulic gradient, groundwater flow direction, and spatial distance to obtain a dimensionless impact assessment score as the degree of hydraulic impact. When this impact assessment score is greater than a preset impact threshold, it indicates that mining activities in this zone are highly likely to cause hydraulic disturbance to the uranium mining area, and the system classifies it as high priority, requiring strict control over mining timing and spatial mismatch; the remaining zones are classified as low priority, allowing for relatively flexible mining arrangements.

[0038] In this embodiment, the hydraulic gradient, groundwater flow direction, and spatial distance between each mining zone and the uranium mining area are calculated based on multi-layer groundwater monitoring data. The above factors are then evaluated using a multi-parameter fusion method. This allows for a comprehensive assessment of the impact of each mining zone on the uranium mining area from aspects such as hydraulic drive direction, disturbance transmission conditions, and spatial attenuation relationships. Mining zones with an impact greater than a preset impact threshold are then classified as high priority, while the rest are classified as low priority. This ensures that mining control is no longer based solely on a rough ranking of physical distances, but rather more accurately reflects the actual hydraulic connection status.

[0039] In one possible implementation, a multi-parameter fusion assessment is performed based on hydraulic gradient, groundwater flow direction, and spatial distance to obtain the degree of hydraulic impact. This includes: normalizing the hydraulic gradient, groundwater flow direction, and spatial distance respectively to obtain gradient normalized values, flow direction normalized values, and distance normalized values; weighting and summing the gradient normalized values, flow direction normalized values, and distance normalized values ​​based on preset weights to obtain an impact assessment score; and using the impact assessment score as the degree of hydraulic impact. The preset weights are determined based on the distribution characteristics of the aquitard between each mining zone and the uranium mining area, with a greater weight corresponding to spatial distance for a more continuous distribution of the aquitard.

[0040] Specifically, since the dimensions of hydraulic gradient are typically dimensionless ratios or meters per meter, groundwater flow direction is an angular value, and spatial distance is a length value, these three dimensions are inconsistent. The system first employs extreme value normalization or Z-score normalization to map each of these values ​​to the interval between 0 and 1, obtaining normalized gradient, flow direction, and distance values. Subsequently, the system performs a weighted summation of these three normalized values ​​based on preset weights, calculated using the following formula: In this system, W1, W2, and W3 represent the preset weights for hydraulic gradient, groundwater flow direction, and spatial distance, respectively, with W1 + W2 + W3 = 1. These preset weights are not fixed constants but are adaptively determined based on the distribution characteristics of the aquitard between each mining zone and the uranium mining area. Considering the physical scenario of "weakened hydraulic connectivity due to uplift," when a continuous and stable aquitard (such as an uplift) exists between a zone and the uranium mining area, the effect of spatial distance as a physical barrier is significantly amplified. This is because even with a large hydraulic gradient, groundwater is unlikely to penetrate the aquitard and cause actual disturbance. In this case, the system automatically increases the weight W3 corresponding to spatial distance and decreases the weight W1 corresponding to hydraulic gradient. Conversely, if there is a missing aquitard or abrupt lithological changes between the two zones, resulting in good hydraulic connectivity, the system increases the weights of hydraulic gradient and groundwater flow direction. Through this adaptive weighting logic, the system strongly binds abstract mathematical weighting calculations with specific physical hydrogeological barrier characteristics, so that the final impact assessment score can truly reflect the ease or difficulty of groundwater crossing geological barriers and causing actual disturbances.

[0041] In this embodiment, by calculating the hydraulic gradient, groundwater flow direction, and spatial distance between each mining zone and the uranium ore area, and normalizing and weighting the three factors, the single distance consideration is upgraded to a three-dimensional quantitative evaluation model that integrates hydrodynamic drive, flow direction vector differentiation, and spatial obstruction. At the same time, by adaptively adjusting the preset weights according to the distribution characteristics of the aquitard, a greater weight is given to spatial distance in areas where the aquitard is continuous. This allows the evaluation algorithm to accurately match the real physical mechanism of "weakened hydraulic connection due to uplift zone obstruction," avoiding evaluation distortion caused by a single parameter or fixed weight. This achieves the scientific quantification of mining risks in each zone and provides a precise priority division basis for subsequently formulating reasonable and safe coordinated mining sequence and spatial mismatch control strategies.

[0042] In one possible implementation, the method of dividing mining zones includes: obtaining geological structure distribution data between the coal mining area and the uranium mining area, including the location information of faults and uplift zones; using the faults and uplift zones as natural hydraulic barriers, and combining the physical distance between each mining zone and the uranium mining area, dividing the coal mining area into multiple mining zones.

[0043] Specifically, coal mining areas are vast, and if mining zones are defined solely by artificially drawn grids or equal intervals, they often become disconnected from actual hydrogeological conditions, resulting in ineffective control of mining sequence to prevent hydraulic disturbance. The system retrieves data from previous 3D seismic exploration and geological borehole surveys to obtain geological structural distribution data between coal and uranium mining areas, particularly the spatial location and extension direction of faults and uplift zones. These geological structures act as natural water barriers in groundwater.

[0044] For example, the central part of the mining area is affected by local tectonic uplift, resulting in low-value contour lines at the western and eastern boundaries. This uplift zone forms two natural "topographic depressions." The system uses these faults and uplift zones as natural hydraulic barriers and, combined with the physical distances of each area to the uranium mining area, divides the coal mining area into multiple independent mining zones, such as West Zone 1, West Zone 2, and East Zone. This division ensures that each zone possesses relatively independent hydrogeological unit attributes in terms of physicogeology, providing a physical basis consistent with groundwater dynamics for subsequent priority allocation and mismatch control.

[0045] In this embodiment, by acquiring geological structure distribution data between the coal mining area and the uranium mining area, and using faults and uplift zones as natural hydraulic barriers, the coal mining area is divided into zones based on the physical distance between each mining zone and the uranium mining area. This allows the mining zone boundaries to match the actual geological structure and hydraulic barrier conditions, avoiding the inclusion of areas with significant differences in hydraulic connectivity into the same control unit, thereby improving the accuracy of subsequent hydraulic impact assessment and zoned mining control.

[0046] In one possible implementation, faults and uplift zones are used as natural hydraulic barriers. Combined with the physical distance between each mining zone and the uranium mining area, the coal mining area is divided into multiple mining zones. This includes: identifying faults and uplift zones extending perpendicular to the line connecting the coal and uranium mining areas as effective barriers; using these effective barriers as zone boundaries, identifying the area between two adjacent effective barriers as a candidate zone; merging the candidate zone with adjacent candidate zones when the width of the candidate zone along the line connecting the coal and uranium mining areas is less than a preset minimum width; and sorting the merged candidate zones according to their physical distance from the uranium mining area from closest to furthest, assigning them decreasing mining priorities accordingly.

[0047] Specifically, not all faults or uplift zones can effectively prevent groundwater from flowing from coal mining areas to uranium mining areas. The system first performs spatial vector analysis on the acquired geological structure distribution data, identifying faults and uplift zones extending perpendicular to the line connecting the coal mining area and the uranium mining area as effective isolation boundaries.

[0048] It should be understood that only structures perpendicular to or at a large angle to the direction of groundwater flow can maximally sever hydraulic connections, while parallel structures may serve as water-conducting channels. Using effective isolation boundaries as zoning boundaries, the system considers the area between two adjacent effective isolation boundaries as a candidate zoning zone.

[0049] However, in some areas, dense geological formations may result in candidate zones that are too narrow to meet the layout requirements of regular coal mining faces. Therefore, the system determines whether the width of a candidate zone along the line connecting the coal and uranium mining areas is less than a preset minimum width (e.g., 500 meters). If it is, it is merged with adjacent candidate zones to form a formal zone with sufficient mining space. After merging, the system sorts the merged candidate zones according to their physical distance from the uranium mining area, from closest to furthest, and assigns them decreasing mining priorities accordingly. For example, the West Second Mining Area, closest to the uranium mining area, is given the highest priority, while the East Mining Area, which is farther away, is given a lower priority. This physical distance-based sorting logic is based on the fact that the closer the zone, the more likely the groundwater drawdown generated by its mining activities will affect the uranium mining area; therefore, it needs to be subject to strict spatial mismatch and temporal coordination control.

[0050] In this embodiment, a dynamic adjustment mechanism is activated in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold. This mechanism can promptly change the direction of coal mining advance and uranium mining retreat when the water level change in the uranium mining area approaches the safety control requirements. This transforms mining control from a fixed plan to dynamic scheduling based on water level drawdown feedback, thereby reducing the superposition of mining disturbances without having to completely stop mining, thus balancing the safety of the uranium aquifer and the continuity of coal mining.

[0051] In one possible implementation, in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, the coal mining advance direction and the uranium mining retreat direction are dynamically adjusted based on mining priorities. This includes: real-time monitoring of the target aquifer water level drawdown in the uranium mining area; when the target aquifer water level drawdown exceeds the preset safety threshold, generating a deceleration control command to reduce the advance speed in the coal mining advance direction, or generating an acceleration control command to increase the retreat speed in the uranium mining retreat direction; and restoring the advance speed and retreat speed to the baseline operating state when the target aquifer water level drawdown returns to within the preset safety threshold.

[0052] Specifically, the drawdown of the target aquifer in a uranium mining area is the most direct physical benchmark for assessing hydraulic disturbances during coal mining. The system uses water level sensors deployed in monitoring wells within the uranium mining area to acquire real-time instantaneous hydraulic head data of the target aquifer at a high-frequency sampling rate. This data is then compared with the initial natural hydraulic head to calculate the real-time drawdown value. A preset safety threshold is the limit to ensure that uranium leaching operations do not experience a drop in water level that could lead to solvent failure or contamination spread; for example, it can be set to 0.5 meters to 1.0 meter. When the real-time drawdown exceeds this preset safety threshold, it indicates that the drawdown cone formed by coal mine drainage has crossed the safety boundary and is affecting the uranium mining area. At this point, the data processing center immediately triggers an emergency response mechanism, generating either a deceleration control command or an acceleration control command. The deceleration control command aims to weaken the intensity of coal mine drainage at its source, thereby inhibiting further expansion of the drawdown cone; the acceleration control command aims to accelerate the retreat speed of the uranium mining face, allowing it to quickly move away from the disturbed area. It should be understood that these two commands can be executed independently or in conjunction depending on the severity of the drawdown. When the system detects that the drawdown of the target aquifer gradually recedes and returns to within the preset safety threshold, it indicates that the hydraulic disturbance has been resolved. The system will then automatically release the emergency command and restore the propulsion and retraction speeds to the baseline operating state to ensure normal production efficiency.

[0053] In this embodiment, by moving the coal mining advance direction away from mining zones with a high degree of hydraulic influence, or prioritizing the advance of mining zones with a low degree of hydraulic influence, the direct hydraulic disturbance of the uranium mining area to the active coal mining can be reduced. This allows the drawdown effect of drainage to be distributed more in areas with weaker hydraulic connection to the uranium mining area, thereby reducing the possibility of the target aquifer water level in the uranium mining area continuing to decline and increasing the safety margin in the coordinated mining process.

[0054] In one possible implementation, generating a deceleration control command to reduce the advance speed in the coal mining advance direction includes: sending a frequency adjustment signal to the drainage equipment in the coal mine goaf to reduce the drainage frequency of the drainage pump; and / or sending a speed limit signal to the coal mining equipment to reduce the cutting advance speed of the coal mining machine; generating an acceleration control command to increase the retreat speed in the uranium mining retreat direction includes: sending a flow rate adjustment signal to the injection equipment in the uranium leaching area to increase the injection flow rate of the injection pump.

[0055] Specifically, the control commands are not merely logical decisions at the software level, but are directly issued to the physical actuators underground. When generating a deceleration control command, the system sends a frequency adjustment signal to the drainage equipment in the coal mine goaf via the mine's wireless communication network. This drainage equipment typically consists of variable frequency centrifugal pumps. The frequency adjustment signal changes the output frequency of the inverter, directly reducing the pump's speed, thereby reducing the drainage volume per unit time and weakening the suction force of the groundwater funnel. Simultaneously, or as an alternative, the system sends a speed limit signal to the coal mining equipment. This signal, received by the coal mining machine's PLC controller, directly limits the flow output of the hydraulic traction system, thereby reducing the cutting and advancing speed of the coal mining machine, slowing the rate of new goaf exposure, and reducing new drainage demand at the source. When generating an acceleration control command, the system sends a flow adjustment signal to the injection equipment in the uranium leaching area, increasing the injection flow rate of the injection pump. By increasing the injection pressure and flow rate, the system maintains the water head height in the leaching area, resisting the drawdown effect caused by coal mine drainage, while simultaneously accelerating the circulation of the leaching solution, prompting a rapid retreat of the active uranium mining face. This transformation of abstract control logic into the adjustment of physical parameters of the frequency converter, hydraulic system, and injection pump thoroughly confirms the technical nature of the solution.

[0056] In this embodiment, by adjusting the uranium mining retreat direction according to the change in the drawdown of the target aquifer in the uranium mining area, the active uranium mining face can avoid areas with strong superposition of hydraulic disturbances with the active coal mining face. This spatially increases the effective influence distance between the two types of active mining faces, making it less likely for groundwater drawdown cones to overlap positively, thereby reducing the concentrated consumption of water head in the same aquifer when coal mining and uranium mining are carried out simultaneously.

[0057] In one possible implementation, the direction of coal mining advance and the direction of uranium mining retreat are dynamically adjusted to keep the active coal mining face and the active uranium mining face spatially mismatched. This includes controlling the spatial angle between the normal vectors of the active mining faces in the direction of coal mining advance and the direction of uranium mining retreat to be greater than a preset angle threshold, so that the active coal mining face and the active uranium mining face are arranged in opposite directions or at a large angle.

[0058] Specifically, groundwater drawdown cones formed by drainage during coal mining typically radiate outwards from the goaf, with their long axis often aligning with the direction of coal mine advance. If the retreat direction of a uranium mine is the same as or nearly parallel to the direction of coal mine advance, the drawdown cones formed by the two will overlap spatially, leading to a sharp drop in water levels in the uranium mining area.

[0059] To address this, the system constrains the relative positions of the two through spatial geometric vector calculations. The normal vector of the active mining face refers to the pointing vector perpendicular to the direction of the coal mining face or the uranium leaching face. The system extracts three-dimensional vector data of the coal mine advance direction and the uranium mine retreat direction, and calculates the spatial angle between their normal vectors. When this spatial angle is greater than a preset angle threshold (e.g., 90 to 150 degrees), it indicates that the mining faces of the two mines are spatially arranged in opposite directions or at a large angle. Combined with the description of "coal mine advancing from south to north, and uranium leaching retreating from east to west," the coal mine advance direction and the uranium leaching direction are approximately perpendicular on the horizontal plane, and the angle between their normal vectors is close to or greater than 90 degrees. This large-angle intersection arrangement allows the long axis of the funnel generated by coal mine drainage to geometrically avoid the uranium leaching area, dispersing the groundwater disturbance energy into different spatial quadrants, thus effectively weakening the funnel superposition effect. It should be understood that the preset angle threshold can be adaptively adjusted according to the anisotropic characteristics of the aquifer in the actual geological conditions. In strata with obvious anisotropy, the threshold can be appropriately relaxed, while in isotropic strata, it needs to be strictly limited.

[0060] In this embodiment, by controlling the spatial angle between the normal vectors of the active mining faces corresponding to the coal mining advance direction and the uranium mining retreat direction to be greater than a preset angle threshold, the two active mining faces can be arranged in opposite directions or at large angles. This disperses the direction of mining disturbance propagation from a spatial geometric perspective, preventing the coal mine drainage impact zone and the uranium mining impact zone from continuously expanding in the same direction, thereby reducing the risk of fallout funnel superposition and hydraulic interference amplification.

[0061] In one possible implementation, dynamically adjusting the direction of coal mining advance and uranium mining retreat based on mining priority also includes: sequentially initiating coal mining operations in each mining zone according to the order of mining priority from high to low; confirming that the target aquifer drawdown in the adjacent completed mining zones has recovered to within the preset safety threshold before initiating coal mining operations in the current mining zone; and coordinating the mining sequence of each mining zone and the uranium mining area based on the mining progress of each mining zone and the multi-layer groundwater monitoring data of the uranium mining area.

[0062] Specifically, mining activities in coal mining areas are spatially continuous, with new mining areas often starting up adjacent to completed ones. Due to the inertial lag effect of groundwater flow, although active drainage has ceased in completed mining areas, the resulting groundwater drawdown cones still require a period of time to backfill and recover. If a new mining area is started blindly before the water level in adjacent mining areas has recovered, the drawdown cones will deepen and potentially breach hydraulic barriers, impacting uranium mining areas.

[0063] Therefore, the system strictly follows the order of mining priority from high to low, sequentially activating each mining zone. Before activating the current mining zone, the system retrieves data from monitoring nodes deployed in adjacent completed zones to confirm that the target aquifer drawdown has recovered to within the preset safety threshold. This activation mechanism based on physical water level recovery confirmation ensures that new aquifers only form after the old ones have completely dissipated, avoiding the overlapping of multiple aquifer phases. Simultaneously, the system dynamically coordinates the mining sequence of each zone with that of the uranium mine based on the mining progress of each zone and multi-layer groundwater monitoring data, ensuring that the pace of coal mining and the withdrawal of leaching operations in the uranium mine remain synchronized over time.

[0064] In this embodiment, coal mining operations in each mining zone are initiated sequentially according to mining priority from high to low. Before initiating the current mining zone, it is confirmed that the drawdown of the target aquifer in adjacent completed mining zones has recovered to within the preset safety threshold. This avoids the cumulative effect of drawdown over time caused by continuous mining in adjacent zones. At the same time, by combining the mining progress of each mining zone with multi-layer groundwater monitoring data of the uranium mining area, the mining sequence is coordinated, allowing the coal mining rhythm to be dynamically adjusted according to the hydraulic response of the uranium mining area, thereby improving the stability and safety of the overall mining process.

[0065] In one possible implementation, the mining sequence of each mining zone and the uranium mining area is coordinated, including: for high-priority mining zones, coal mining and uranium mining are allowed to proceed simultaneously if the drawdown of the target aquifer in the uranium mining area is lower than a preset safety threshold; for low-priority mining zones, coal mining operations in the low-priority mining zones are suspended when the drawdown of the target aquifer in the uranium mining area approaches the preset safety threshold, until the drawdown of the target aquifer recovers to within the safety margin before mining resumes; wherein the safety margin is less than the preset safety threshold.

[0066] Specifically, mining zones of different priorities pose varying degrees of hydraulic threat to uranium mining areas, thus requiring differentiated timing control strategies. For high-priority zones, due to their distance from the uranium mining area or the presence of effective water barriers, their mining activities have limited impact on the water level. As long as multi-level groundwater monitoring data indicates that the drawdown of the target aquifer in the uranium mining area is below a preset safety threshold, the system allows mining in that zone to proceed simultaneously with the uranium mine to ensure overall mine productivity. However, for low-priority zones, due to their proximity to the uranium mining area or strong hydraulic connectivity, their mining activities are highly likely to cause a rapid decline in the water level. When the system detects that the drawdown of the target aquifer in the uranium mining area is approaching the preset safety threshold, mining operations in the low-priority zone are immediately suspended to cut off the source of disturbance.

[0067] Because groundwater rebound also exhibits a lag, the system does not resume mining as soon as the water level falls below the safety threshold. Instead, it waits until the water level drawdown recovers to within a more stringent safety margin before allowing coal mining operations to resume. The safety margin is a conservative value less than a preset safety threshold; for example, if the safety threshold is 1.0 meter, the safety margin can be set to 0.6 meters. This setting provides ample head buffer space to prevent the water level from exceeding the threshold again due to the inertia of groundwater flow the instant mining resumes. Through this precise timing control based on real-time drawdown feedback, the system maximizes the continuity of coal mining while ensuring uranium mine safety.

[0068] In this embodiment, by adopting differentiated timing coordination strategies for high-priority and low-priority mining zones, high-priority zones can be mined synchronously with uranium mines when the drawdown of the target aquifer in the uranium mining area is lower than a preset safety threshold, in order to maintain mine production capacity. During the mining process in low-priority zones, if the drawdown of the target aquifer approaches the preset safety threshold, coal mining operations in that zone are suspended and mining is resumed only after the drawdown recovers to within a safety margin below the preset safety threshold. This provides a buffer space for the groundwater rebound process and prevents the water level from exceeding safety control requirements again as soon as it recovers, thereby improving the continuity of coordinated coal and uranium mining while ensuring the hydrological safety of the uranium mining area.

[0069] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0070] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0071] Figure 2 A schematic diagram of the structure of the coal and uranium coordinated mining control device based on groundwater monitoring provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below: like Figure 2 As shown, the coal-uranium coordinated mining control device 2 based on groundwater monitoring includes: The acquisition module 201 is used to acquire multi-layer groundwater monitoring data in the transition zone between the coal mining area and the uranium mining area; The partitioning module 202 is used to determine the degree of hydraulic impact of each mining zone of the coal mining area on the uranium mining area based on the multi-layer groundwater monitoring data, and to partition the mining priority accordingly. The adjustment module 203 is used to dynamically adjust the coal mining advance direction and the uranium mining retreat direction based on the mining priority in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, so as to keep the active coal mining face and the active uranium mining face spatially mismatched.

[0072] In this embodiment, by acquiring multi-layer groundwater monitoring data in the transition zone between the coal mining area and the uranium mining area, and based on this, determining the degree of hydraulic impact and mining priority of each mining zone in the coal mining area on the uranium mining area, the mining sequence and mining direction can be established on the basis of real-time hydrogeological feedback. When the drawdown of the target aquifer in the uranium mining area reaches the preset safety threshold, the mining advance direction of the coal mine and the mining retreat direction of the uranium mine are dynamically adjusted, so that the active mining face of the coal mine and the active mining face of the uranium mine are spatially mismatched, thereby reducing the risk of the superposition of the drawdown funnels of the two mining disturbance zones and mitigating the hydraulic interference of coal mine drainage on the target aquifer in the uranium mining area.

[0073] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. For example... Figure 3 As shown, the electronic device 3 of this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, it implements the steps in the various method embodiments described above. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the various device embodiments described above.

[0074] For example, computer program 32 may be divided into one or more modules / units, which are stored in memory 31 and executed by processor 30 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 32 in electronic device 3.

[0075] Electronic device 3 may include, but is not limited to, processor 30 and memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device 3 may also include input / output devices, network access devices, buses, etc.

[0076] The processor 30 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0077] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 3. Furthermore, the memory 31 can include both internal and external storage units of the electronic device 3. The memory 31 is used to store the computer program 32 and other programs and data required by the electronic device 3. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0078] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.

[0079] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0080] This invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0081] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0082] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0083] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for coordinated coal and uranium mining control based on groundwater monitoring, characterized in that, include: To obtain multi-layer groundwater monitoring data in the transition zone between coal mining areas and uranium mining areas; Based on the multi-layer groundwater monitoring data, the degree of hydraulic impact of each mining zone in the coal mining area on the uranium mining area is determined, and mining priorities are determined accordingly. In response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, the mining advance direction of the coal mine and the mining retreat direction of the uranium mine are dynamically adjusted based on the mining priority, so as to keep the active coal mining face and the active uranium mining face spatially mismatched.

2. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 1, characterized in that, Based on the multi-layer groundwater monitoring data, the degree of hydraulic impact of each mining zone in the coal mining area on the uranium mining area is determined, and mining priorities are assigned accordingly, including: Based on the multi-layer groundwater monitoring data, the hydraulic gradient, groundwater flow direction and spatial distance between each mining zone and the uranium mining area are calculated. The degree of hydraulic influence is obtained by multi-parameter fusion evaluation based on the hydraulic gradient, groundwater flow direction and spatial distance. Mining zones with hydraulic impact levels exceeding a preset impact threshold are classified as high priority zones, while the rest are classified as low priority zones.

3. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 2, characterized in that, The multi-parameter fusion assessment based on the hydraulic gradient, groundwater flow direction, and spatial distance yields the degree of hydraulic influence, including: The hydraulic gradient, groundwater flow direction, and spatial distance are normalized to obtain normalized gradient values, normalized flow direction values, and normalized distance values. The gradient normalization value, the flow direction normalization value, and the distance normalization value are weighted and summed based on preset weights to obtain the impact assessment score. The impact assessment score is used as the degree of hydraulic impact. The preset weights are determined based on the distribution characteristics of the aquitard between each mining zone and the uranium mining area. The more continuous the distribution of the aquitard, the greater the weight corresponding to the spatial distance.

4. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 1, characterized in that, The methods for dividing the mining zones include: Obtain geological structure distribution data between the coal mining area and the uranium mining area, the geological structure distribution data including the location information of faults and uplift zones; Using the faults and uplift zones as natural hydraulic barriers, and combining the physical distance between each mining zone and the uranium mining area, the coal mining area is divided into multiple mining zones.

5. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 4, characterized in that, The method of using the fault and uplift zone as natural hydraulic barriers, combined with the physical distance between each mining zone and the uranium mining area, divides the coal mining area into multiple mining zones, including: Faults and uplift zones extending perpendicular to the line connecting the coal mining area and the uranium mining area are identified as effective isolation boundaries. Using the effective partition boundary as the partition boundary, the area between two adjacent effective partition boundaries is taken as a candidate partition; When the width of the candidate partition along the line connecting the coal mining area and the uranium mining area is less than a preset minimum width, the candidate partition is merged with the adjacent candidate partition. The merged candidate zones are sorted from closest to furthest from the uranium mining area and assigned decreasing mining priorities in that order.

6. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 1, characterized in that, The response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, dynamically adjusting the coal mining advance direction and the uranium mining retreat direction based on the mining priority, includes: Real-time monitoring of the drawdown of the target aquifer in the uranium mining area; When the drawdown of the target aquifer exceeds the preset safety threshold, a deceleration control command is generated to reduce the advance speed in the coal mining direction, or an acceleration control command is generated to increase the retreat speed in the uranium mining retreat direction. When the drawdown of the target aquifer returns to within the preset safety threshold, the advance speed and the retreat speed are restored to the baseline operating state.

7. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 6, characterized in that, The generation of the deceleration control command to reduce the advance speed in the coal mining advance direction includes: sending a frequency adjustment signal to the drainage equipment in the coal mine goaf to reduce the drainage frequency of the drainage pump; and / or sending a speed limit signal to the coal mining equipment to reduce the cutting advance speed of the coal mining machine. The method of generating acceleration control commands to increase the retreat speed in the uranium mining retreat direction includes: sending a flow rate adjustment signal to the injection equipment in the uranium leaching area to increase the injection flow rate of the injection pump.

8. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 1, characterized in that, The dynamic adjustment of the coal mining advance direction and the uranium mining retreat direction to maintain a spatial mismatch between the active coal mining face and the active uranium mining face includes: The spatial angle between the active mining face normal vectors of the coal mining advance direction and the uranium mining retreat direction is controlled to be greater than a preset angle threshold, so that the active coal mining face and the active uranium mining face are arranged in opposite directions or at a large angle.

9. The method for coordinated coal and uranium mining control based on groundwater monitoring according to claim 1, characterized in that, The dynamic adjustment of the coal mining advance direction and the uranium mining retreat direction based on the mining priority also includes: Coal mining operations in each mining zone are initiated sequentially according to the mining priority from high to low. Before coking operations are started in the current mining zone, it is confirmed that the drawdown of the target aquifer in the adjacent completed mining zone has been restored to within the preset safety threshold. Based on the mining progress of each mining zone and the multi-layer groundwater monitoring data of the uranium mining area, the mining sequence of each mining zone and the uranium mining area is coordinated.

10. A control device for coordinated coal and uranium mining based on groundwater monitoring, characterized in that, include: The acquisition module is used to acquire multi-layer groundwater monitoring data in the transition zone between coal mining areas and uranium mining areas; The partitioning module is used to determine the degree of hydraulic impact of each mining zone of the coal mining area on the uranium mining area based on the multi-layer groundwater monitoring data, and to partition the mining priority accordingly. The adjustment module is used to dynamically adjust the coal mining advance direction and the uranium mining retreat direction based on the mining priority in response to the target aquifer water level drawdown in the uranium mining area reaching a preset safety threshold, so as to keep the active coal mining face and the active uranium mining face spatially mismatched.

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