Tailing pond infiltration line online sensing and pumping drainage linkage control method

Abstract

The invention discloses a tailing pond infiltration line online sensing and pumping drainage linkage control method, and relates to the technical field of tailing pond seepage prevention. Collecting and analyzing data; triggering the control logic; performing pumping and drainage linkage execution; data synchronization and remote monitoring; according to the invention, an automatic real-time online monitoring and regulation system is constructed in the tailing pond, and various factors influencing the safety of the tailing pond are automatically acquired by using a data acquisition and implementation communication technology, so that the whole-process monitoring and regulation of the tailing pond are realized; water level change conditions of dewatering wells and monitoring wells inside and outside a curtain are monitored in real time, water level elevation data are obtained online, starting and stopping of a submersible pump are controlled locally, water on the outer side permeates into the curtain slightly, continuous purification of surrounding water and soil is achieved, a tailing pond infiltration line is automatically maintained below a safe elevation, and stability of a dam body is ensured. And accurate management and control of underground water pollution can be realized in an auxiliary manner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tailing pond seepage prevention, in particular to a tailing pond phreatic line online sensing and pumping linkage control method. BACKGROUND

[0002] At present, a large amount of tailing waste is produced in the process of mineral exploitation, and with the increasing impoverishment of mineral resources, the proportion of tailings output will also gradually increase. Except for a small part used for mine filling or comprehensive utilization, most of them are stored in tailing ponds. As an important auxiliary facility of the mine, the tailing pond plays an important role in ensuring the normal development of mineral processing activities and the safe storage of tailings. However, it is also a facility with high risk. Among the many reasons for tailing pond accidents, seepage or percolation of tailing pond is one of the main factors. Therefore, the seepage control and prevention technology and treatment effect of tailing pond seepage are particularly important for ensuring the safety of tailing pond production. The current water level elevation inside and outside the curtain is difficult to realize automatic monitoring and regulation, which leads to the destruction of the seepage prevention body, the outflow of the leachate in the pond and a series of safety and environmental accidents. Due to the lack of online sensing means, the tailing pond cannot be monitored in time when seepage occurs. At the same time, due to the lack of effective linkage control means, the seepage of the tailing pond cannot be stopped when seepage problems occur, resulting in high phreatic line of the tailing pond and high seepage risk. SUMMARY

[0003] The present application provides a tailing pond phreatic line online sensing and pumping linkage control method, which can effectively solve the problem of the current water level elevation inside and outside the curtain being difficult to realize automatic monitoring and regulation, which leads to the destruction of the seepage prevention body, the outflow of the leachate in the pond and a series of safety and environmental accidents. Due to the lack of online sensing means, the tailing pond cannot be monitored in time when seepage occurs. At the same time, due to the lack of effective linkage control means, the seepage of the tailing pond cannot be stopped when seepage problems occur, resulting in high phreatic line of the tailing pond and high seepage risk.

[0004] To achieve the above purpose, the present application provides the following technical scheme: a tailing pond phreatic line online sensing and pumping linkage control method, which realizes real-time online monitoring and regulation by constructing an automatic real-time online monitoring and regulation system in the tailing pond, monitors the phreatic line of the tailing pond in real time, dynamically regulates the water level by linking the pumping facilities with the automatic control logic, and guarantees the stability of the tailing pond and the safety of the environment. The specific steps include the following steps: Step one, water level online sensing; Step two, data collection and analysis; Step three, control logic triggering; Step four, pumping linkage execution; Step five, data synchronization and remote monitoring; Step six, continuous monitoring and adjustment.

[0005] According to the above technical solution, step one is responsible for obtaining the most original field data. This is achieved by deploying monitoring and sensing devices at key locations in the tailings dam site to collect field seepage line data in real time. The monitoring and sensing devices specifically include piezometers and water level sensors.

[0006] According to the above technical solution, in step one, the monitoring and sensing equipment is installed at key locations in the tailings dam to cover the entire tailings dam area. The monitoring and sensing equipment is used to conduct comprehensive water level monitoring to keep track of the current water level. In the specific layout of the monitoring wells, the monitoring wells are distributed in a grid pattern to cover the pollution diffusion path. The depth of the monitoring wells needs to be determined according to the geological stratification. The depth of shallow pore water wells is greater than 10m and does not exceed 15m, and the depth of deep fissure water wells is 30m.

[0007] According to the above technical solution, step two is responsible for processing and initially interpreting the sensing data. Data is collected in real time through the data acquisition module built into the local control cabinet. The local control cabinet is deployed in the slag yard area to acquire water level elevation data online. The data acquisition program built into the local control cabinet is used to initially remove outliers in the data. After the initial data processing, the original on-site monitoring data is processed and interpreted.

[0008] According to the above technical solution, step three is responsible for making a decision. Specifically, when the analysis results show that the water level exceeds the set threshold, the control logic is automatically triggered. The start control signal is automatically sent to the pumping facility without manual intervention. The trigger control logic adopts a dual condition constraint of water level elevation and duration.

[0009] According to the above technical solution, step four, which is responsible for performing the pumping operation, is to automatically start the pumping facility to perform the pumping operation after the monitoring data triggers the control logic. The operation is carried out by using a stainless steel submersible pump to force the pumping out of the groundwater. During the forced pumping process, the water level changes are continuously monitored, and the pumping is automatically stopped when the water level drops to a safe range.

[0010] According to the above technical solution, in step four, during the forced pumping and drainage process using a stainless steel submersible pump, a vacuum negative pressure of 0.1 MPa is generated by combining air-driven negative pressure technology. At the same time as starting the stainless steel submersible pump, the high-pressure air inlet valve can be controlled to inject gas into the well to generate negative pressure, thereby accelerating the seepage efficiency of pore water in the surrounding slag body, realizing active and efficient drainage and water reduction, and improving pumping efficiency.

[0011] According to the above technical solution, step five involves transmitting local data to the back-end monitoring and management center in real time via real-time communication technology. The back-end monitoring and management center is located in the enterprise security management center and is used for data display, remote monitoring, and decision release. The back-end monitoring and management center uses simulation software to simulate the immersion line curve and displays it visually through the water treatment monitoring interface. The visualization specifically shows the real-time water level, pumping volume, equipment status, and immersion line shape to help enterprise managers review the data. It supports remote debugging and management, and after receiving alarm information on the water treatment monitoring interface, it pushes the alarm information to the relevant personnel through pop-up windows, sound, SMS and WeChat.

[0012] According to the above technical solution, in step five, the background monitoring and management center and the local control cabinet have the functions of data synchronization and remote debugging, supporting data synchronization between the local and background systems, regular monitoring and data uploading, real-time reporting and early warning, and supporting long-term decision-making.

[0013] According to the above technical solution, step six refers to continuously monitoring water level changes and dynamically adjusting the pumping control logic based on the latest data in order to dynamically control the infiltration line within the safe target. Specifically, this includes optimizing the threshold and adjusting the pumping frequency.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By constructing an automated real-time online monitoring and control system for tailings dams, and utilizing data acquisition and communication technologies, various factors affecting tailings dam safety are automatically collected. This enables full-process monitoring and control of the tailings dam, real-time monitoring of water level changes in dewatering wells and monitoring wells inside and outside the dam curtain, online acquisition of water level elevation data, and local control of the start and stop of submersible pumps. This continuously controls the head difference between the inside and outside of the dam curtain, allowing water from the outside to seep into the dam in small amounts, thus continuously purifying the surrounding soil and water. It automatically maintains the tailings dam's phreatic line below the safe elevation, ensuring dam stability and assisting in the precise control of groundwater pollution.

[0015] 2. By deploying monitoring wells and using piezometers to collect data in real time, precise water level monitoring and sensing are achieved. Meanwhile, automatic submersible pumps pump water to the collection tank, with a cumulative extraction volume of several thousand cubic meters. Through negative pressure water suction by the power components, the drainage of low-permeability slag is accelerated, lowering the overall phreatic line of the slag dam. Based on precise sensing and monitoring, pumping and drainage can be linked, realizing intelligent management of the tailings dam phreatic line. This solves the problems of seepage prevention damage, leakage of leachate from the dam, and a series of safety and environmental accidents, enabling automated monitoring and precise control of water level elevation inside and outside the curtain.

[0016] In summary, by constructing an automated real-time online monitoring and control system within the tailings dam, the system monitors the tailings dam's seepage line in real time. Combined with automatic control logic, it dynamically regulates the water level by linking pumping facilities. By monitoring the water levels in dewatering wells and monitoring wells, the current water level status within the dam area can be grasped in a timely manner. When the water level exceeds the set value, the pumping facilities are automatically activated, effectively controlling the water level height, ensuring the safety of the tailings dam, and realizing full-process monitoring and control of the tailings dam, thereby ensuring the stability of the tailings dam and environmental safety. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Fig. 1 This is a logic flowchart of the online sensing and extraction linkage control method of the present invention; Fig. 2 This is a schematic diagram of the basic structural topology of the online sensing and extraction linkage control of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] like Figs. 1-2 As shown, this invention provides a technical solution: an online sensing and pumping linkage control method for the phreatic line of a tailings dam. By constructing an automated real-time online monitoring and control system within the tailings dam, the system monitors the phreatic line in real time and, combined with automatic control logic, dynamically regulates the water level by linking pumping facilities, ensuring the stability of the tailings dam and environmental safety. Specifically, it includes the following steps: Step 1: Online water level monitoring; Step two, data collection and analysis; Step 3: Trigger the control logic; Step 4: Execute the sampling and sorting in tandem. Step 5: Data synchronization and remote monitoring; Step six: Continuous monitoring and adjustment.

[0021] Based on the above technical solution, the first step is to acquire the most original field data by deploying monitoring and sensing devices at key locations in the tailings dam site to collect field seepage line data in real time. The monitoring and sensing devices specifically include piezometers and water level sensors. Among them, the piezometer is pre-embedded inside the tailings dam, around the slag silo, and along the key upstream and downstream paths of groundwater. The piezometer can measure pore water pressure and convert it into accurate water level elevation. The water level sensor is installed in dewatering wells, monitoring wells, and extraction wells to directly measure the water level depth in the well. Specifically, both the piezometer and the water level sensor are based on the principle of hydraulic transmission, which converts water pressure into electrical signals. The monitoring accuracy is ±0.1m. During the monitoring process using the piezometer and the water level sensor, the monitoring frequency is controlled so that the single-point acquisition time is <30s and the total reservoir inspection time is ≤30min.

[0022] Based on the above technical solution, in step one, the monitoring and sensing equipment is installed at key locations in the tailings dam to cover the entire tailings dam area. The monitoring and sensing equipment is used to conduct comprehensive water level monitoring to keep track of the current water level status. In the specific layout of the monitoring wells, the monitoring wells are distributed in a grid pattern to cover the pollution diffusion path. The depth of the monitoring wells needs to be determined according to the geological stratification. The depth of shallow pore water wells is greater than 10m and not more than 15m, and the depth of deep fissure water wells is 30m. The monitoring well uses DN250 HDPE permeable pipe with an opening rate of 50%. Long-fiber geotextile is wrapped around the well pipe to prevent clogging, and the bottom of the well is filled with graded crushed stone to ensure smooth water flow.

[0023] Based on the above technical solution, step two is responsible for processing and initially interpreting the sensing data. Data is collected in real time through the data acquisition module built into the local control cabinet. The local control cabinet is deployed in the slag yard area to obtain water level elevation data online. The data acquisition program built into the local control cabinet is used to initially remove outliers in the data. After the initial data processing, the original on-site monitoring data is processed and interpreted. The data acquisition program is specifically a piezometer data acquisition and analysis program. It acquires water level data from each monitoring point and performs real-time analysis and processing on the acquired water level data. Based on the monitoring data from multiple piezometers, it automatically outputs a simulated immersion curve to predict water level trends. By calculating the current immersion curve and comparing it with the preset safety threshold for water level, the deviation between the data and the set threshold is used to determine whether the water level exceeds the standard, providing a decision basis for subsequent triggering control logic. During the calculation process, the data missing rate is ensured to be ≤2% and the power outage operation time is ≥72h.

[0024] Based on the above technical solution, in step three, the decision-maker is responsible for making a decision. Specifically, when the analysis results show that the water level exceeds the set threshold, the control logic is automatically triggered. The start control signal is automatically sent to the pumping facility without manual intervention. The trigger control logic adopts a dual condition limit of water level elevation and duration. Specifically, it is triggered when the water level exceeds the limit by 0.5 and lasts for 10 minutes. After the piezometer data at each monitoring point triggers the control logic, the stainless steel submersible pump is automatically controlled through the start-stop control logic, and the stainless steel submersible pump can be started immediately afterward based on the equipment start command. The specific response process includes triggering a Level 1 warning response and a Level 2 warning response. The Level 1 warning response activates an audible and visual alarm when the water level reaches 90% of the threshold. The Level 2 warning response immediately starts the water pump when the water level exceeds the limit and notifies the management personnel of the over-limit event via APP, SMS, and email.

[0025] Based on the above technical solution, step four, which is responsible for performing the pumping operation, is to automatically start the pumping facility to perform the pumping operation after the monitoring data triggers the control logic, and to use a stainless steel submersible pump to perform forced pumping operation to extract groundwater. This pumping linkage control supports transient response to ensure rapid response decision-making, and continuously monitors water level changes during the forced pumping process. When the water level drops to a safe range, the pumping will automatically stop. The pumped water is directed to a collection tank or treatment station to lower the saturation line in the reservoir area. At the same time, the outflow volume is automatically recorded and counted. The stainless steel submersible pump has a head of 30m and a flow rate of 10m³ / h. The pumping pipe is made of corrosion-resistant DN50 HDPE pipe.

[0026] Based on the above technical solution, in step four, during the forced pumping and drainage process using a stainless steel submersible pump, a vacuum negative pressure of 0.1MPa is generated by combining air-driven negative pressure technology. At the same time as starting the stainless steel submersible pump, the high-pressure air inlet valve can be controlled to inject gas into the well to generate negative pressure, thereby accelerating the seepage efficiency of pore water in the surrounding slag body, realizing active and efficient drainage and water reduction, and improving pumping efficiency. During the pumping and drainage linkage control process, it also supports continuous operation mode and intermittent operation mode to adapt to water level changes, ultimately lower the water level, and stabilize the seepage line within a safe range. The continuous operation mode is used when the water level remains high during the rainy season, and it operates continuously around the clock. Intermittent operation mode involves starting and stopping the pumping as needed, based on statistical data and the amount of water pumped, when the water level fluctuates.

[0027] Based on the above technical solution, step five is to transmit local data to the back-end monitoring and management center in real time through real-time communication technology. The back-end monitoring and management center is located in the enterprise security management center and is used for data display, remote monitoring and decision support. The back-end monitoring and management center uses simulation software to simulate the immersion line curve and displays it visually through the water treatment monitoring interface. The visualization specifically shows the real-time water level, pumping volume, equipment status, and immersion line shape to help enterprise managers review the data. It supports remote debugging and management, and after receiving alarm information on the water treatment monitoring interface, it pushes the alarm information to the relevant personnel through pop-up windows, sound, SMS and WeChat.

[0028] Based on the above technical solution, in step five, the background monitoring and management center and the local control cabinet have the functions of data synchronization and remote debugging, supporting data synchronization between the local and the background, regular monitoring and data uploading, realizing real-time reporting and early warning, and supporting long-term decision-making. Remote commissioning supports manual remote control of the pumping facilities, enabling remote start and stop of the pumping facilities, adjustment of thresholds, and setting of pumping duration, so as to handle maintenance and abnormalities when they occur.

[0029] Based on the above technical solution, step six refers to continuously monitoring water level changes and dynamically adjusting the pumping control logic according to the latest data in order to dynamically control the infiltration line within the safe target. Specifically, this includes optimizing the threshold and adjusting the pumping frequency to ensure the continuous stability of the infiltration line and to ensure the long-term effective operation of monitoring and pumping methods. At the same time, it is also necessary to regularly maintain the monitoring equipment and drainage measures. During the regular maintenance of the monitoring equipment and drainage measures, the monitoring equipment needs to be calibrated quarterly and the geomembrane needs to be inspected annually. The drainage measures need to be tested under no-load conditions every month to check whether the pump body and pipeline are blocked or damaged, and to ensure the response speed. In addition, the pumping volume needs to be reduced during the dry season, while pre-drainage is required during the rainy season, and auxiliary pumping wells need to be added for abnormal points.

[0030] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0031] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for online sensing and coordinated pumping control of the tailings dam wetting line, characterized in that: By constructing an automated real-time online monitoring and control system within the tailings dam, the seepage line of the tailings dam is monitored in real time. Combined with automatic control logic, the water level is dynamically adjusted in conjunction with the pumping facilities to ensure the stability of the tailings dam and environmental safety. The specific steps include the following: Step 1: Online water level monitoring; Step two, data collection and analysis; Step 3: Trigger the control logic; Step 4: Execute the sampling and sorting in tandem. Step 5: Data synchronization and remote monitoring; Step six: Continuous monitoring and adjustment.

2. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 1, characterized in that: Step one is responsible for acquiring the most original field data. This is achieved by deploying monitoring and sensing devices at key locations in the tailings dam site to collect real-time data on the seepage line. The monitoring and sensing devices specifically include piezometers and water level sensors.

3. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 2, characterized in that: In step one, monitoring and sensing equipment is installed at key locations in the tailings dam to cover the entire tailings dam area. The monitoring and sensing equipment is used to conduct comprehensive water level monitoring to keep track of the current water level status. In the specific layout of the monitoring wells, the monitoring wells are distributed in a grid pattern to cover the pollution diffusion path. The depth of the monitoring wells needs to be determined according to the geological stratification. The depth of shallow pore water wells is greater than 10m and not more than 15m, and the depth of deep fissure water wells is 30m.

4. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 2, characterized in that: Step two involves processing and initially interpreting the sensed data. Data is collected in real time through the data acquisition module built into the local control cabinet, which is deployed in the slag yard area to acquire water level and elevation data online. The data acquisition program built into the local control cabinet is used to initially remove outliers from the data. After the initial data processing, the original on-site monitoring data is processed and analyzed.

5. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 4, characterized in that: Step three is responsible for making decisions. Specifically, when the analysis results show that the water level exceeds the set threshold, the control logic is automatically triggered. The start control signal is automatically sent to the pumping facility without manual intervention. The trigger control logic uses a dual condition constraint of water level elevation and duration.

6. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 5, characterized in that: Step four, responsible for performing the pumping operation, involves automatically starting the pumping facility after the monitoring data triggers the control logic, using a start command to perform the pumping operation. A stainless steel submersible pump is used to perform forced pumping to extract groundwater. During the forced pumping process, the water level is continuously monitored, and pumping is automatically stopped when the water level drops to a safe range.

7. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 6, characterized in that: In step four, during the forced pumping and drainage process using a stainless steel submersible pump, a 0.1MPa vacuum negative pressure is generated by combining air-driven negative pressure technology. While starting the stainless steel submersible pump, the high-pressure air inlet valve can be controlled to inject gas into the well to generate negative pressure, thereby accelerating the seepage efficiency of pore water in the surrounding slag body, achieving active and efficient drainage and water reduction, and improving pumping efficiency.

8. The method for online sensing and coordinated drainage control of the tailings dam wetting line according to claim 1, characterized in that: Step five involves transmitting local data to the back-end monitoring and management center in real time via real-time communication technology. The back-end monitoring and management center is located in the enterprise security management center and is used for data display, remote monitoring, and decision release. The back-end monitoring and management center uses simulation software to simulate the immersion line curve and displays it visually through the water treatment monitoring interface. The visualization specifically shows the real-time water level, pumping volume, equipment status, and immersion line shape to help enterprise managers review the data. It supports remote debugging and management, and after receiving alarm information on the water treatment monitoring interface, it pushes the alarm information to the relevant personnel through pop-up windows, sound, SMS and WeChat.

9. The method for online sensing and coordinated pumping control of the tailings dam wetting line according to claim 8, characterized in that: In step five, the background monitoring and management center and the local control cabinet have data synchronization and remote debugging functions, supporting data synchronization between the local and background systems for regular monitoring and data uploading, enabling real-time reporting and early warning, and supporting long-term decision-making.

10. The method for online sensing and coordinated drainage control of the tailings dam wetting line according to claim 1, characterized in that: Step six refers to continuously monitoring water level changes and dynamically adjusting the pumping control logic based on the latest data to dynamically control the infiltration line within the safe target. Specifically, this includes optimizing the threshold and adjusting the pumping frequency.

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