Dynamic monitoring method and system for mine underground water seepage

Abstract

The invention relates to the technical field of monitoring control, in particular to a dynamic monitoring method and system for mine underground water seepage. The method comprises the following steps: acquiring water level data of a plurality of observation wells of mine underground water at each moment for regulating and controlling acquisition frequency; drawing a water level curve, and obtaining a water level change value at each moment; constructing a minimum independent variable function relational expression of the lag time between the observation wells; the influence probability of each observation well on the observation well pointed by the water flow direction is determined; determining the monitoring importance of each observation well; and regulating and controlling the acquisition frequency of the observation well based on the monitoring importance so as to realize dynamic monitoring of mine underground water seepage. By determining the detection importance and performing targeted analysis and processing, the problem of data redundancy caused by the increase of the number of observation wells and the sharp increase of the data volume is avoided, the data processing burden is relieved, the operation efficiency of the monitoring system is improved, and the problem that the response speed of the monitoring system is reduced due to data redundancy is solved.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and control technology, and in particular to a method and system for dynamically monitoring groundwater seepage in a mine. Background Art

[0002] In mining activities, groundwater seepage monitoring is one of the core links to ensure safe production in mines. The dynamic changes in the groundwater level in mines are often the result of the interaction of multiple geological factors and mining activities. Real-time and accurate monitoring can timely capture abnormal signals that may cause water disasters, providing a key basis for mine safety management, thereby effectively preventing disasters such as water seepage and water inrush, protecting the lives of personnel and the normal production and operation of mines.

[0003] However, the traditional method of monitoring groundwater seepage in mines usually uses a unified real-time monitoring frequency to collect data from all observation wells. In the early stage of mine development, when the number of observation wells is limited, this method can still maintain basic monitoring effects. For example, a small mine has only more than 10 observation wells, and the amount of data collected at a unified frequency is small, which can be quickly processed and analyzed. However, as the scale of mines continues to expand, the number of observation wells increases dramatically, and the disadvantages gradually become prominent. Taking a large mine as an example, when the number of observation wells reaches hundreds, each well continues to generate massive data, and the amount of data grows exponentially. A large amount of redundant data not only puts huge pressure on data storage and transmission, but also increases the burden of data processing. The server storage capacity of the traditional monitoring system is quickly saturated, and the transmission bandwidth is also seriously congested due to the data torrent. In the huge data torrent, the abnormal water level fluctuation signal is easily submerged, making it difficult to detect in time, thereby delaying the early warning and processing of potential water disasters. This data redundancy problem not only reduces the response speed of the monitoring system, but also affects the accuracy of the monitoring results due to the increased complexity of data processing, making it difficult for traditional monitoring methods to meet the growing safety monitoring needs of modern mines. Summary of the invention

[0004] In order to solve the problem that data redundancy reduces the response speed of the monitoring system and the increased complexity of data processing affects the accuracy of the monitoring results, making it difficult for traditional monitoring methods to meet the safety monitoring needs of modern mines, the present invention provides a method and system for dynamic monitoring of groundwater seepage in mines.

[0005] In a first aspect, the present invention provides a method for dynamic monitoring of groundwater seepage in a mine, which adopts the following technical solution: A method for dynamic monitoring of underground water seepage in a mine, comprising: obtaining water level data of multiple observation wells of underground water in the mine at various times for regulating the acquisition frequency; drawing a water level curve of the water level data of each observation well at various times to obtain the curvature of the water level curve of each observation well at various times, recording the change value of the water level data of each observation well at various times relative to the previous time as the water level change value at various times; for any two observation wells, constructing a minimum independent variable function relationship of the lag time of the two observation wells based on the curvature and change value of the water level curve of the two observation wells at various times; determining the lag time of the two observation wells according to the size of the lag time of the two observation wells. The direction of water flow in each observation well; for any observation well, determine the probability of influence of the observation well on the observation well to which the water flow direction of the observation well points according to the difference between the water level change value of the observation well to which the water flow direction of the observation well points at each moment and the water level change value of the observation well at the corresponding lag time, as well as the distance between the observation wells; determine the monitoring importance of the observation well according to the probability of influence of the observation well on the observation well to which the water flow direction of the observation well points, and the probability of influence of the observation well to which the water flow direction points on the observation well; based on the monitoring importance, adjust the collection frequency of the observation well to realize dynamic monitoring of groundwater seepage in mines.

[0006] The beneficial effects are as follows: by constructing a lag time function relationship between observation wells based on the analysis of the curvature of the water level curve and the water level change value, the water flow direction and the probability of impact can be accurately determined, thereby identifying the most critical observation wells for the dynamic monitoring of groundwater seepage in mines, avoiding high-frequency data collection for all observation wells, and significantly reducing the amount of data and redundant information; regulating the collection frequency enables the monitoring system to give priority to collecting data from important observation wells, reducing the burden of data processing, speeding up data transmission and processing, and improving the real-time response capability of the system; by dynamically adjusting the collection frequency, the high quality and timeliness of key observation well data are ensured, the processing errors caused by data overload are reduced, and the accuracy and reliability of dynamic monitoring of groundwater seepage are improved; by optimizing the data collection and processing process, unnecessary data collection and storage are reduced, the cost of system operation and maintenance is reduced, and the economic benefits of mine groundwater monitoring are improved.

[0007] Furthermore, the water level data is preprocessed water level data, and the preprocessing includes: based on The principle is to identify and eliminate abnormal water level data in the water level data, and then filter and denoise to obtain preprocessed water level data.

[0008] Furthermore, the horizontal coordinate of the water level curve is time, and the vertical coordinate is water level data.

[0009] Furthermore, the minimization function relationship of the independent variable satisfies: ; In the formula, For observation well With observation well The lag time, For observation well At the moment The curvature of the water level curve, For observation well At the moment The curvature of the water level curve, For observation well At the moment The water level change value, For observation well At the moment The water level change value, and Observation wells With observation well The maximum value of the water level change at all times, is the number of moments, is a hyperparameter, for The minimized independent variable function, is the absolute value function.

[0010] The beneficial effects are: by constructing a minimization function based on the difference between the curvature of the water level curve and the normalized water level change value, the lag time between different observation wells can be accurately calculated, reflecting the actual propagation delay of groundwater seepage, and improving the accuracy of spatiotemporal correlation analysis; by dynamically adjusting the lag time parameters, it can flexibly adapt to the groundwater seepage characteristics of different time periods and different mining areas, and enhance the monitoring system's response ability to complex groundwater dynamic changes.

[0011] Further, the determining of the direction of water flow in the two observation wells includes: responding to When it is greater than 0, it is considered as an observation well. The water level changes in the observation wells preceded the , then the observation well The water flow direction points to the observation well ; In response to When it is less than 0, it is considered as an observation well. The water level changes in the observation wells preceded the , then the observation well The water flow direction points to the observation well .

[0012] Furthermore, the impact probability is the average of the secondary impact probabilities of the target observation well on the observation well pointed by the water flow direction of the target observation well at each moment.

[0013] Furthermore, the secondary impact probability satisfies: ; In the formula, For observation well For observation wells The direction of water flow is toward the The observation wells at time The secondary impact probability, For observation well At the moment The water level change value, For observation well At the moment The water level change value at time For the Observation wells and observation wells The distance between The maximum distance between observation wells, is the natural exponential function, is the absolute value symbol.

[0014] The beneficial effects are: the use of exponential decay function to express the secondary impact probability reduces the computational complexity and is suitable for realizing efficient real-time dynamic monitoring; the direct correlation between the absolute difference of the water level change value and the ratio of the normalized distance reflects the physical law that the water flow impact decays exponentially with the increase of the water level change difference and the increase of the distance between the observation wells, which enhances the physical rationality of the model.

[0015] Furthermore, the monitoring importance satisfies: ; In the formula, For observation well The importance of monitoring Point the water flow direction to the observation well The number of observation wells, For observation well The number of observation wells that the water flow direction points to, Point the water flow direction to the observation well The observation well Observation well to observation well The probability of impact, For observation well For observation wells The direction of water flow is toward the The probability of influence of each observation well is is the maximum value function.

[0016] The beneficial effects are as follows: the monitoring importance calculation method simultaneously considers the influence probability of the observation well as a "water flow receiver" (inflow direction) and a "water flow emitter" (outflow direction), ensuring a comprehensive evaluation of the multi-dimensional role of the observation well in the groundwater seepage network; by calculating the average influence probability of the inflow direction and the outflow direction respectively, and taking the maximum value as the importance index, it can accurately reveal the dominant position or key node role of the observation well in the water flow transmission process, and reflect the dynamic characteristics of the water flow; according to the quantitative index of the importance of the observation well, the collection frequency of each observation well can be dynamically adjusted to achieve the optimal allocation of monitoring resources and improve the efficiency and pertinence of the overall monitoring system.

[0017] Furthermore, the method for realizing dynamic monitoring of underground water seepage in mines includes: Sort the detection importance of all observation wells according to their size, divide all observation wells into corresponding importance levels according to the sorting results, and adjust the collection frequency of all observation wells to complete the dynamic monitoring of groundwater seepage in mines.

[0018] The beneficial effects are: by sorting and grading the monitoring importance of all observation wells, it is possible to scientifically distinguish between key observation wells and secondary observation wells, ensuring that limited collection resources are used first for high-importance observation wells, thereby improving monitoring efficiency; dynamically adjusting the collection frequency according to the monitoring importance level, making data acquisition in key areas more timely and precise, reducing the data collection frequency of unimportant well points, alleviating data processing pressure, and accelerating system response speed.

[0019] In a second aspect, the present invention provides a mine groundwater seepage dynamic monitoring system, which adopts the following technical solution: A mine groundwater seepage dynamic monitoring system comprises: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned mine groundwater seepage dynamic monitoring method is implemented.

[0020] By adopting the above technical solution, the above-mentioned method for dynamic monitoring of groundwater seepage in a mine is generated into a computer program and stored in a memory so as to be loaded and executed by a processor, thereby making a terminal device based on the memory and the processor for easy use.

[0021] The present invention has the following technical effects: (1) By constructing a series of operations such as minimizing the independent variable function relationship of the lag time based on the curvature of the water level curve and the water level change value, all observation well data are not processed indiscriminately, but analyzed and processed in a targeted manner, avoiding the data redundancy problem caused by the increase in the number of observation wells and the surge in data volume, reducing the data processing burden, improving the operating efficiency of the monitoring system, and solving the problem of data redundancy reducing the response speed of the monitoring system.

[0022] (2) By using the relationship between the curvature, change value and lag time of the water level curve between the observation wells, the direction of water flow and the probability of influence between the observation wells are comprehensively analyzed, which can more accurately reflect the actual situation of groundwater seepage in the mine, avoid the adverse impact on the accuracy of monitoring results caused by the increased complexity of data processing, make the monitoring results more reliable, and meet the requirements of modern mines for safety monitoring accuracy.

[0023] (3) The acquisition frequency is adjusted according to the monitoring importance of the observation wells. The acquisition frequency is increased for observation wells with high importance, while the acquisition frequency is appropriately reduced for observation wells with low importance. This not only ensures the effective acquisition of key information, but also reasonably allocates monitoring resources, realizes the dynamic monitoring of groundwater seepage in mines, improves the adaptability and flexibility of the monitoring system, enables the monitoring system to better adapt to the continuous expansion of mine scale, and meets the safety monitoring needs of modern mines.

[0024] (4) Determining the direction of water flow and the probability of impact between observation wells will help to gain a deeper understanding of the seepage patterns of groundwater in mines and the relationships between observation wells, provide more comprehensive and accurate information support for the management and decision-making of groundwater in mines, and facilitate the adoption of more scientific and reasonable measures to ensure mine safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of a method for dynamic monitoring of groundwater seepage in a mine according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0027] The embodiment of the present invention discloses a method for dynamic monitoring of groundwater seepage in a mine, referring to Figure 1 , comprising steps S1 to S6: S1: Obtain water level data of multiple observation wells of mine groundwater at various times for regulating the acquisition frequency.

[0028] It should be noted that water level sensors are installed in multiple observation wells of mine groundwater to collect water level data of each observation well in real time. The initial collection frequency of the sensor can be set to a uniform value, for example, once per minute, in order to obtain preliminary water level data. The moments used to regulate the collection frequency are all moments within a preset time window. The preset time window can be set according to specific circumstances, for example, the first two days when monitoring begins.

[0029] Specifically, the water level data is preprocessed water level data, and the preprocessing includes: based on The principle is to identify and eliminate abnormal water level data in the water level data, and then filter and denoise to obtain preprocessed water level data.

[0030] Implementers can select filtering methods according to specific implementation conditions, such as moving average filtering or wavelet filtering.

[0031] S2: Draw a water level curve and obtain the water level change value at each moment.

[0032] It should be noted that the collected water level data are used to draw a curve of water level change over time for each observation well. These curves reflect the dynamic changes of water levels in each observation well and provide a basis for subsequent analysis.

[0033] Draw a water level curve of the water level data of each observation well at each moment, obtain the curvature of the water level curve of each observation well at each moment, and record the change value of the water level data of each observation well at each moment relative to the previous moment as the water level change value at each moment.

[0034] Specifically, the horizontal coordinate of the water level curve is time, and the vertical coordinate is water level data.

[0035] S3: Construct a function relationship that minimizes the independent variable of the lag time between observation wells.

[0036] It should be noted that in actual mining scenarios, groundwater flows in complex geological structures. Due to differences in distance, water flow paths and geological conditions between different observation wells, there is a time sequence in water level changes. By analyzing this time lag relationship, the hydraulic connection between observation wells can be effectively determined, and the flow direction of groundwater can be inferred. The lag time is not calculated for observation wells that do not belong to the same water flow route.

[0037] For any two observation wells, based on the curvature and change value of the water level curves of the two observation wells at each moment, a functional relationship of minimizing the independent variables of the lag time of the two observation wells is constructed.

[0038] Specifically, the minimization independent variable function relationship satisfies: ; In the formula, For observation well With observation well The lag time, For observation well At the moment The curvature of the water level curve, For observation well At the moment The curvature of the water level curve, For observation well At the moment The water level change value, For observation well At the moment The water level change value, and Observation wells With observation well The maximum value of the water level change at all times, is the number of moments, is a hyperparameter, for The minimized independent variable function, is the absolute value function.

[0039] Implementers can set hyperparameters according to specific implementation conditions, for example, 0.0001. The existence of hyperparameters is to prevent and When both are 0, the formula becomes meaningless.

[0040] in, and The observation wells At the moment With observation well At the moment The rate of change of the water level at the corresponding moment. The greater the curvature, the more drastic the water level change. The higher the weight in calculating the lag time, because the drastically changing water level can better reflect the dynamic characteristics of the water flow. and It directly reflects the water level changes of different observation wells at different times. The larger the water level change value, the greater its proportion in the calculation, which means that the water level change of the observation well is more critical to determine the lag time. and Observation wells and observation wells The value with the largest change in the water level change value within the preset time window is used to normalize the water level change value to avoid affecting the accuracy of the calculation result due to the large difference in the water level change amplitude of different observation wells; The function finds the minimum value of the formula. value, i.e., the optimal lag time of water level changes in the two observation wells; It reflects the relative difference in the water level change values ​​of the two observation wells at different times. The larger the value, the greater the relative difference in the water level change values ​​of the two wells, which affects the final lag time and thus affects the judgment of the water flow direction.

[0041] It should be noted that It is obtained by solving the functional relationship. In the calculation process, in order to minimize the objective function, The search will be performed over the entire range of real numbers. When it is a positive number, it means the observation well The water level change is ahead of , then the observation well The water level changes lag behind the observation wells , then it can be inferred that the water flow direction is from Flow direction ;when When it is a negative number, it means that the observation well The water level change is ahead of , then the observation well The water level changes lag behind the observation wells , then it can be inferred that the water flow direction is from Flow direction In extreme cases, when When it is 0, specific judgment needs to be made based on the on-site situation. For example, if the water level changes are completely synchronized, the flow direction needs to be determined manually.

[0042] The directions of water flows in the two observation wells are determined according to the lag times of the two observation wells.

[0043] Specifically, determining the direction of water flow in the two observation wells includes: In response to When it is greater than 0, it is considered as an observation well. The water level changes in the observation wells preceded the , then the observation well The water flow direction points to the observation well ; In response to When it is less than 0, it is considered as an observation well. The water level changes in the observation wells preceded the , then the observation well The water flow direction points to the observation well .

[0044] S4: Determine the probability that each observation well affects the observation well to which the water flow direction points.

[0045] It should be noted that in the groundwater seepage system of a mine, the observation wells are not independent of each other, but there is a hydraulic connection between them. The water level change of one observation well will have different degrees of impact on the surrounding observation wells, and this impact is closely related to the distance between the observation wells and the water level changes.

[0046] For any observation well, the probability of the observation well affecting the observation well pointed by the water flow direction of the observation well is determined by the difference between the water level change value of the observation well pointed by the water flow direction of the observation well at each moment and the water level change value of the observation well at the corresponding lag time, as well as the distance between the observation wells.

[0047] Specifically, the impact probability is the average of the secondary impact probabilities of the target observation well on the observation well pointed by the water flow direction of the target observation well at each moment.

[0048] Specifically, the secondary impact probability satisfies: ; In the formula, For observation well For observation wells The direction of water flow is toward the The observation wells at time The secondary impact probability, For observation well At the moment The water level change value, For observation well At the moment The water level change value at time For the Observation wells and observation wells The distance between The maximum distance between observation wells, is the natural exponential function, is the absolute value symbol.

[0049] Among them, when When it is greater than 0, it means The observation wells at time The water level change value is greater than that of the observation well At the moment The water level change value at time In addition to the observation well In addition to the influence of water flow, there are other groundwater recharge sources, or The geological structure of the observation well makes it easier for the water level to rise, such as the presence of local water storage structures, which indicates that the observation well For The probability of the influence of the observation well decreases as the difference between the water level changes of the two increases. The more significant the water level change of an observation well is affected by other factors, the The water flow to The influence of each observation well is weaker. When it is less than 0, it means The observation wells at time The water level change value is less than that of the observation well At the moment This may be due to the observation well The outflowing water is flowing to the During the transmission process of the first observation well, there is a diversion phenomenon, or due to the penetration and blocking effect of the geological structure along the way, only part of the water flow can flow into the second observation well. observation wells, so that The water level changes in the observation wells were relatively small; this means that the observation wells and The greater the difference in water level changes in the observation wells, the For The lower the probability of the influence of an observation well, the The stronger the obstruction or diversion effect on the water flow during transmission, the The more limited the impact of water level changes in each observation well, the more limited the impact of water level changes in each observation well. By normalizing the distance between observation wells, the probability of water level change between observation wells is adjusted, reflecting the importance of distance factors on the mutual influence of observation wells in the groundwater seepage system.

[0050] S5: Determine the monitoring importance of each observation well.

[0051] It should be noted that in the mine groundwater seepage monitoring system, the importance of different observation wells is not equal. Some observation wells are located in key groundwater channels or hubs. Their water level changes can not only directly reflect the dynamics of the main water flow, but also have a significant impact on the water level changes in the surrounding areas; while some observation wells may only be affected by local water flows and have relatively low monitoring value. Accurately assessing the monitoring importance of each observation well will help to rationally allocate monitoring resources and prioritize monitoring accuracy and frequency in key areas, which is of great significance to mine water hazard early warning and prevention.

[0052] For any observation well, the monitoring importance of the observation well is determined based on the probability of the observation well influencing the observation well to which the water flow direction of the observation well points, and the probability of the observation well to which the water flow direction points on the observation well influencing the observation well.

[0053] Specifically, the monitoring importance satisfies: ; In the formula, For observation well The importance of monitoring Point the water flow direction to the observation well The number of observation wells, For observation well The number of observation wells that the water flow direction points to, Point the water flow direction to the observation well The observation well Observation well to observation well The probability of impact, For observation well For observation wells The direction of water flow is toward the The probability of influence of each observation well is is the maximum value function.

[0054] in, Indicates observation well The average probability of being affected by upstream water flow reflects the degree of response of the well to changes in upstream water flow. If this value is large, it means that the observation well The water level change is easily affected by multiple factors at the hydraulic connection point of multiple upstream observation wells, and the monitoring value of upstream water flow status is relatively high; for example, when a large amount of water flows toward the observation well , and when the probability of these upstream observation wells affecting it is generally high, the well can sensitively capture the dynamic changes of groundwater in the area and is a key monitoring object. It means observation well The average probability of affecting the downstream observation well reflects the control effect of the well on the downstream water flow. If the value is high, it means that the observation well The water level change will significantly affect multiple observation wells downstream. The water level status is directly related to the groundwater dynamics in the downstream area and is a key node affecting the stability of downstream water flow. For example, the water level rise and fall of the observation well on the main groundwater runoff channel will be quickly transmitted to the downstream, which is of great significance to the water hazard risk assessment in the downstream area. Finally, the maximum value of the two is taken as the observation well. The importance of monitoring can be comprehensively considered by considering the role of the observation well in both upstream water response and downstream water flow control, and the observation well with the highest monitoring priority can be accurately located.

[0055] S6: Based on the importance of the monitoring, the acquisition frequency of the observation wells is adjusted to achieve dynamic monitoring of groundwater seepage in the mine.

[0056] Specifically, the method for realizing dynamic monitoring of groundwater seepage in mines includes: The detection importance of all observation wells is sorted according to size, and all observation wells are divided into corresponding importance levels according to the sorting results (for example, high-importance wells, i.e. the first 30%: the collection frequency is 2 times per minute; medium-importance wells, i.e. the middle 40%: the frequency is 1 time per minute; low-importance wells, i.e. the last 30%: the frequency is 1 time every 5 minutes), and the collection frequency of all observation wells is adjusted to complete the dynamic monitoring of groundwater seepage in mines.

[0057] It should be noted that during the mining process, mining operations have a complex impact on groundwater flow, which will change the seepage path and velocity of groundwater and the hydraulic connection between observation wells, thus affecting the monitoring importance of observation wells. Therefore, it is necessary to add regular or real-time adjustment operations and logic on the basis of the original dynamic adjustment of the acquisition frequency according to the importance of monitoring to ensure the effectiveness and accuracy of monitoring, as follows: Set adjustment cycles: According to the mining progress and complexity of geological conditions of the mine, set reasonable regular adjustment cycles, such as comprehensive assessment and adjustment every week, half a month or every month; for areas with frequent mining activities and unstable geological conditions, the adjustment cycle should be shortened appropriately; for areas with relatively stable mining activities and small changes in geological conditions, the cycle can be extended appropriately.

[0058] Recalculate the monitoring importance: In each adjustment cycle, the water level data of each observation well is collected again, the water level curve is redrawn, and the monitoring importance of each observation well is recalculated according to the steps S3-S5 of the present invention, i.e., lag analysis, impact degree calculation and monitoring importance determination; because mining activities are ongoing, the seepage conditions of groundwater will continue to change, and regular recalculation can reflect these changes in a timely manner.

[0059] Adjust the acquisition frequency: Reclassify the importance level of the observation wells (high, medium, low) based on the recalculated monitoring importance. For example, if the original medium-importance well is more critical to reflecting the water flow state due to mining activities after reassessment, its acquisition frequency will be increased from once per minute to twice per minute. Conversely, if a high-importance well is affected by mining activities and its monitoring importance is reduced, the acquisition frequency will be reduced accordingly.

[0060] An embodiment of the present invention further discloses a system for dynamically monitoring groundwater seepage in a mine, including a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a method for dynamically monitoring groundwater seepage in a mine according to the present invention is implemented.

[0061] The above system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, and their configuration and functions are known in the art, so they will not be described in detail here.

[0062] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for dynamic monitoring of groundwater seepage in a mine, characterized in that: include: Obtain water level data of multiple observation wells of groundwater in the mine at various times for regulating the acquisition frequency; Draw a water level curve of the water level data of each observation well at each moment, obtain the curvature of the water level curve of each observation well at each moment, and record the change value of the water level data of each observation well at each moment relative to the previous moment as the water level change value at each moment; For any two observation wells, based on the curvature and change value of the water level curves of the two observation wells at each time, a function relationship of minimizing the independent variable of the lag time of the two observation wells is constructed; according to the lag time of the two observation wells, the direction of the water flow of the two observation wells is determined; For any observation well, determine the probability of the observation well influencing the observation well to which the water flow direction of the observation well points based on the difference between the water level change value of the observation well to which the water flow direction of the observation well points at each moment and the water level change value of the observation well at the corresponding lag time, as well as the distance between the observation wells; determine the monitoring importance of the observation well based on the probability of the observation well influencing the observation well to which the water flow direction of the observation well points and the probability of the observation well to which the water flow direction points on the observation well; Based on the importance of monitoring, the acquisition frequency of the observation wells is adjusted to achieve dynamic monitoring of groundwater seepage in mines.

2. A method for dynamic monitoring of groundwater seepage in a mine according to claim 1, characterized in that: The water level data is pre-processed water level data, and the pre-processing includes: based on The principle is to identify and eliminate abnormal water level data in the water level data, and then filter and denoise to obtain preprocessed water level data.

3. A method for dynamic monitoring of groundwater seepage in a mine according to claim 1, characterized in that: The horizontal coordinate of the water level curve is time, and the vertical coordinate is water level data.

4. A method for dynamic monitoring of groundwater seepage in a mine according to claim 1, characterized in that: The minimization independent variable function relationship satisfies: ； In the formula, For observation well With observation well The lag time, For observation well At the moment The curvature of the water level curve, For observation well At the moment The curvature of the water level curve, For observation well At the moment The water level change value, For observation well At the moment The water level change value, and Observation wells With observation well The maximum value of the water level change at all times, is the number of moments, is a hyperparameter, for The minimized independent variable function, is the absolute value function.

5. A method for dynamic monitoring of groundwater seepage in a mine according to claim 4, characterized in that: Determining the direction of water flow in the two observation wells includes: In response to When it is greater than 0, it is considered as an observation well. The water level changes in the observation wells preceded the , then the observation well The water flow direction points to the observation well ; In response to When it is less than 0, it is considered as an observation well. The water level changes in the observation wells preceded the , then the observation well The water flow direction points to the observation well .

6. A method for dynamic monitoring of groundwater seepage in a mine according to claim 1, characterized in that: The impact probability is the average of the secondary impact probabilities of the target observation well on the observation well pointed by the water flow direction of the target observation well at each moment.

7. A method for dynamic monitoring of groundwater seepage in a mine according to claim 6, characterized in that: The secondary impact probability satisfies: ； In the formula, For observation well For observation wells The direction of water flow is toward the The observation wells at time The secondary impact probability, For observation well At the moment The water level change value, For observation well At the moment The water level change value at time For the Observation wells and observation wells The distance between The maximum distance between observation wells, is the natural exponential function, is the absolute value symbol.

8. A method for dynamic monitoring of groundwater seepage in a mine according to claim 1, characterized in that: The monitoring importance meets: ； In the formula, For observation well The importance of monitoring Point the water flow direction to the observation well The number of observation wells, For observation well The number of observation wells that the water flow direction points to, Point the water flow direction to the observation well The observation well Observation well to observation well The probability of impact, For observation well For observation wells The direction of water flow is toward the The probability of influence of each observation well is is the maximum value function.

9. A method for dynamic monitoring of groundwater seepage in a mine according to claim 1, characterized in that: The method for realizing dynamic monitoring of underground water seepage in mines includes: Sort the detection importance of all observation wells according to their size, divide all observation wells into corresponding importance levels according to the sorting results, and adjust the collection frequency of all observation wells to complete the dynamic monitoring of groundwater seepage in mines.

10. A mine groundwater seepage dynamic monitoring system, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a method for dynamic monitoring of groundwater seepage in a mine according to any one of claims 1 to 9 is implemented.

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