Tailing pond rainfall safety early warning method, device, medium and computer equipment

Abstract

The application provides a tailing pond rainfall safety early warning method, device, medium and computer equipment, the method comprises the following steps: calculating the water quantity into the reservoir based on the rainfall, rainfall intensity and catchment area; combined with the drainage flow, determine the flood discharge capacity difference; further fusion flood discharge difference and water level rising rate, build comprehensive early warning index; according to the index grade, execute grading emergency response measures, including monitoring, increasing drainage, personnel evacuation and sound and light alarm etc.. The surface runoff coefficient and water level sensitivity factor can be dynamically calibrated through the federal learning algorithm to adapt to the hydrological changes in different scenes. At the same time, the method also has a closed loop feedback mechanism, which can judge whether the risk is relieved in real time, if not below the early warning threshold, then automatically upgrade the response level. The method realizes the real-time and accurate evaluation and active response of the tailing pond rainfall risk, improves the sensitivity and robustness of the early warning system, and significantly enhances the safety management ability of the tailing pond.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of risk early warning, more specifically, it relates to a tailings pond rainfall safety early warning method, device, medium and computer equipment. BACKGROUND

[0002] Tailings refer to the useless part left after processing during the process of ore mining, that is, waste in ore. In the mining industry, after beneficiation and smelting processes, the useful part of the ore is extracted, and the remaining waste is tailings. Tailings are usually in solid, slurry or liquid form and may contain some harmful substances, so they need to be treated and stored in a special tailings pond. The tailings pond is a structure for storing tailings, which aims to safely handle and store these waste. The safety of the tailings pond is crucial because if the tailings pond leaks, dam breaks, etc., it will cause serious environmental pollution and safety hazards.

[0003] The flood discharge system of the tailings pond is one of the key structures to ensure its safety and stability. Under extreme weather conditions, especially during heavy rainfall, tailings ponds face serious safety challenges. The matching between the inflow water volume caused by rainfall and the flood discharge capacity of the tailings pond directly affects the water level change in the reservoir area and the stability of the dam body. If the inflow water volume exceeds the flood discharge capacity, it will cause the water level in the reservoir to rise rapidly, the pressure on the dam body to increase sharply, and then induce overtopping or dam failure accidents. Therefore, it is urgent to accurately monitor and grade the safety state of the tailings pond under rainfall conditions to ensure its safe operation.

[0004] It is worth noting that in mountainous, coastal and other areas with frequent heavy rainfall, the safety risk of tailings ponds is further amplified due to complex terrain, concentrated runoff and other characteristics. However, the traditional early warning method, although monitoring multiple parameters (such as rainfall, water level, saturation line), does not establish a dynamic coupling analysis model of rainfall-runoff area-flood discharge capacity, which has significant limitations. On the one hand, when only considering rainfall, the influence of the surrounding runoff area of the tailings pond may be ignored.

[0005] The response mechanism of the traditional early warning system is rigid, and the emergency measures and real-time risk level lack dynamic linkage. For example, when the risk level is upgraded, it is not possible to automatically adjust the flood discharge gate opening or trigger the evacuation alarm, and it still needs to rely on manual decision-making and operation, resulting in delayed response and exacerbating the risk of accidents. Therefore, there is an urgent need for a dynamic early warning system that integrates multiple factors (rainfall, runoff area, flood discharge capacity) to achieve accurate early warning and closed-loop control of tailings pond safety risks through real-time data acquisition, dynamic optimization of model parameters and graded emergency response mechanism, thereby effectively preventing major accidents such as overtopping and dam failure. SUMMARY

[0006] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a tailings pond rainfall safety warning method, device, medium and computer equipment to overcome the above shortcomings.

[0007] The above technical objectives of the present invention are achieved through the following technical solutions: a tailings pond rainfall safety early warning method is applied to a tailings pond rainfall safety early warning system, the system comprising:

[0008] Rain gauges to monitor rainfall amount and intensity in the tailings pond area;

[0009] A water level sensor, used for measuring the water level in the tailings pond;

[0010] A flow meter is installed at the outlet of the tailings pond to monitor the drainage flow of the tailings pond. ;

[0011] The method comprises:

[0012] Calculate water inflow ; The amount of water entering the reservoir Specifically, the rainfall amount, the rainfall intensity and the geographical information of the area where the tailings pond is located are calculated and generated;

[0013] Based on the drainage flow And the amount of water entering the reservoir Calculate the difference in flood discharge capacity ;

[0014] Based on the flood discharge capacity difference and the water level rising rate, and calculate the comprehensive early warning index; the water level rising rate is specifically the ratio of the difference in water level height change to the rising time;

[0015] Based on the comprehensive early warning indicators, the preset emergency response measures are executed.

[0016] In one embodiment, the geographic information specifically includes: surface runoff coefficient and the diversion coefficient ; The surface runoff coefficient The diversion coefficient is calibrated by the historical rainfall data and historical runoff data of the area where the tailings pond is located. Specifically, it is determined by calibrating the flood interception capacity of the area where the tailings pond is located.

[0017] In one embodiment, the calculation of the water inflow , specifically including:

[0018] ;

[0019] in, Indicates the rainfall in the area where the tailings pond is located; Indicates the catchment area of ​​the area where the tailings pond is located; Indicates the rainfall intensity in the area where the tailings pond is located.

[0020] In one embodiment, the flood discharge capacity difference and the rate of water level rise, and calculate comprehensive early warning indicators, including:

[0021] ;

[0022] in, represents a comprehensive early warning indicator; Indicates the water level; Indicates the rate of water level rise; Represents the water level sensitivity weighting factor.

[0023] In one embodiment, the surface runoff coefficient And the water level sensitivity weight factor All are dynamically calibrated through federated learning algorithms.

[0024] In one embodiment, executing preset emergency response measures based on the comprehensive early warning indicators specifically includes:

[0025] when When the situation worsens, continue monitoring and take no other measures;

[0026] when Increase the frequency of inspections and check the status of flood drainage facilities;

[0027] when When opening, partially open the chute cover to expand the flow section;

[0028] when When the chute cover is fully opened, the personnel in the downstream low-risk area shall be evacuated;

[0029] when When the flood is reported, the emergency flood discharge facilities will be activated, triggering the sound and light alarm and full evacuation instructions.

[0030] In one embodiment, the method further comprises:

[0031] After executing the emergency response measures, it is determined whether the comprehensive warning indicator drops below the warning threshold after a predetermined time. If so, monitoring is continued; if not, the emergency response measures are upgraded.

[0032] The tailings pond rainfall safety warning device is applied to the tailings pond rainfall safety warning system, and the system includes:

[0033] Rain gauges to monitor rainfall amount and intensity in the tailings pond area;

[0034] A water level sensor, used for measuring the water level in the tailings pond;

[0035] A flow meter is installed at the outlet of the tailings pond to monitor the drainage flow of the tailings pond. ;

[0036] The device comprises:

[0037] The first calculation unit is used to calculate the amount of water entering the reservoir ; The amount of water entering the reservoir Specifically, the rainfall amount, the rainfall intensity and the geographical information of the area where the tailings pond is located are calculated and generated;

[0038] The second calculation unit is used to calculate the drainage flow rate based on the drainage flow rate. And the amount of water entering the reservoir Calculate the difference in flood discharge capacity ;

[0039] The third calculation unit is used to calculate the flood discharge capacity difference based on the flood discharge capacity difference. and the water level rising rate, and calculate the comprehensive early warning index; the water level rising rate is specifically the ratio of the difference in water level height change to the rising time;

[0040] The emergency response unit is used to execute preset emergency response measures based on the comprehensive early warning indicators.

[0041] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed by a processor.

[0042] A computer device includes a memory and a processor, wherein the memory stores a computer program and the processor implements the steps of the above method when executing the computer program.

[0043] In summary, the present invention has the following beneficial effects: the tailings pond rainfall safety early warning method includes: calculating the amount of water entering the reservoir ; The amount of water entering the reservoir Specifically, the rainfall amount, the rainfall intensity and the geographical information of the area where the tailings pond is located are calculated and generated; based on the drainage flow And the amount of water entering the reservoir Calculate the difference in flood discharge capacity Based on the flood discharge capacity difference and the water level rising rate, calculate the comprehensive early warning index; the water level rising rate is specifically the ratio of the difference in water level height change to the rising time; based on the comprehensive early warning index, execute the preset emergency response measures; the method of the present invention can achieve real-time and accurate assessment and active response to the rainfall risk of the tailings pond, improve the sensitivity and robustness of the early warning system, and significantly enhance the safety management capability of the tailings pond. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of the tailings pond rainfall safety early warning method of the present invention;

[0045] Figure 2 1 is a structural diagram of a tailings pond rainfall safety early warning device in an embodiment of the present invention;

[0046] Figure 3 This is a diagram of the internal structure of a computer device according to an embodiment of the present invention;

[0047] Figure 4 This is a structural diagram of a dynamic rainfall safety risk classification warning response system in an embodiment of the present invention;

[0048] In the figure: 1. First computing unit; 2. Second computing unit; 3. Third computing unit; 4. Emergency response unit. DETAILED DESCRIPTION

[0049] To make the objectives, features, and advantages of the present invention more readily apparent, the following detailed description of the present invention is provided with reference to the accompanying drawings. The accompanying drawings illustrate several embodiments of the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein.

[0050] In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0051] Those skilled in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented using a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0052] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0053] In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0054] The above description is merely a specific embodiment of the present application. Any person skilled in the art may easily conceive of variations or substitutions within the technical scope disclosed in this application, and such variations or substitutions shall be within the scope of protection of this application. The scope of protection of this application shall be subject to the scope of protection of the claims.

[0055] The present invention is described in detail below with reference to the accompanying drawings and embodiments.

[0056] Example 1

[0057] In order to solve the above problems, Figure 4 As shown, the present invention provides a tailings pond rainfall safety early warning system comprising:

[0058] The data acquisition module mainly includes four components: a high-precision rain gauge, which can be multiple, with a range of 0-500mm / h and an accuracy of ±0.1mm; each is installed in the vicinity of the tailings pond to measure rainfall in the tailings pond and surrounding areas in real time when it rains. and rainfall intensity ; Among them, rainfall intensity The definition is the amount of rainfall per unit time. The GIS system is used to dynamically calculate the dynamic catchment area of ​​the area surrounding the tailings pond based on geographic data information. The specific steps are as follows: First, generate geomorphic data according to the area where the tailings pond is located, and use DEM (digital elevation model) to "fill in depressions" to eliminate unnatural low-lying points in the terrain; then generate a water flow direction map for each pixel to determine the path of the water flow; then calculate the water flow accumulation map to identify the area where the water flow is concentrated; on this basis, use the drainage point of the tailings pond as the outlet, and use the flow direction map to reversely deduce all upstream areas that converge into this point, and then delineate the complete catchment area; finally, the GIS system counts the total number of pixels in the area and combines the pixel resolution to accurately calculate the catchment area. ; Ultrasonic flowmeter, range: , the precision is: , installed at the entrance of the tailings pond drainage system. The entrance position of the drainage system can directly reflect the drainage flow out of the reservoir area. Water level sensors are used to monitor water level changes within the tailings pond area. They calculate the rate of water rise and assess future risks based on the rate of water rise, rather than the actual water level. This allows for effective risk prediction and timely risk warnings.

[0059] The data processing module communicates with the high-precision rain gauge, GIS system, ultrasonic flow meter and water level sensor in the data acquisition module, and calculates the comprehensive early warning index according to the predetermined calculation method based on the data collected in the data acquisition module. The comprehensive early warning index integrates multiple key monitoring data into a quantifiable and comparable risk numerical indicator, thereby realizing dynamic assessment of the current safety status of the tailings pond, graded early warning and emergency response decision support.

[0060] The graded warning module automatically determines the current risk level of the tailings pond based on the real-time values ​​of comprehensive warning indicators and triggers the corresponding warning level and emergency response measures. This module ensures that appropriate actions are executed quickly and accurately when risks escalate, thereby achieving dynamic graded warning and closed-loop emergency management and control of the tailings pond under rainfall conditions.

[0061] The emergency execution unit is used to link with the corresponding specific equipment according to the emergency response measures distributed by the graded warning module. The emergency execution unit mainly includes a chute control system, an audible and visual alarm device, and an emergency communication platform. The function of the chute control system is to automatically adjust the opening and closing status of the cover of the tailings pond drainage chute according to the warning level, thereby dynamically controlling the effective cross-section of the flood discharge channel, improving the drainage capacity, and slowing down the rate of water level rise in the reservoir. The function of the audible and visual alarm device is to immediately emit a strong sound and flash signal when the warning level reaches a high risk, providing efficient and intuitive risk warnings to the area surrounding the tailings pond; the function of the emergency communication platform is to serve as a central system for information transmission and command dispatch, receiving monitoring data and warning signals in real time, and quickly conveying the corresponding emergency response instructions to managers at all levels and on-site emergency units.

[0062] Based on the above system, such as Figure 1 As shown, this embodiment further provides a comprehensive early warning method, which includes:

[0063] S1. Calculate the amount of water entering the reservoir ; The amount of water entering the reservoir Specifically, the rainfall , the rainfall intensity and the comprehensive calculation and generation of geographic information of the area where the tailings pond is located;

[0064] The geographic information is obtained through the GIS system. , the rainfall intensity Specifically, it is obtained through a high-precision rain gauge; the amount of water entering the reservoir It is one of the primary factors that determine whether there is a safety risk in the tailings pond during rainfall. The greater the amount of water entering the reservoir, the faster the water level in the reservoir rises; a large amount of water entering the reservoir may cause the liquid level in the reservoir to rise, resulting in enhanced seepage in the tailings dam body and increased pore water pressure, which can easily cause engineering diseases such as dam softening, landslides, and rising infiltration lines, increasing the risk of dam failure.

[0065] S2, based on the drainage flow And the amount of water entering the reservoir Calculate the difference in flood discharge capacity ;

[0066] The difference in discharge capacity reflects the dynamic balance between the amount of water flowing into the tailings pond per unit time and the discharge capacity. When the water inflow exceeds the instantaneous discharge capacity of the flood discharge system, the water level of the tailings reservoir will continue to rise. When the flood discharge capacity is sufficient, the reservoir water will not accumulate; when It is obviously positive and continues to expand, indicating that the tailings pond has entered a state of deficit; combined with As well as rainfall trend forecasts, it helps to deploy storage and increased discharge strategies in advance to improve overall flood discharge efficiency.

[0067] S3, based on the flood discharge capacity difference and the water level rising rate, and calculate the comprehensive early warning index; the water level rising rate is specifically the ratio of the difference in water level height change to the rising time;

[0068] By using two key risk factors for quantitative integration, a unified risk scoring index is generated to determine whether the tailings pond has entered an unsafe state and which level of warning area it has entered, forming a more comprehensive risk assessment dimension, avoiding only looking at the flow rate without looking at the water level, or only looking at the water level and ignoring the deviation of the water inflow speed. The water level is not large, but it rises rapidly, indicating that the system is slow to respond or the drainage efficiency is lagging. It is difficult to trigger an early warning by relying solely on the flow difference. The comprehensive indicator can capture the risk in time, issue a signal in advance, and improve the sensitivity of the system warning. Further combined with geographic information, the comprehensive indicator algorithm can adapt to different terrains, rainfall types and drainage system structures;

[0069] S4. Based on the comprehensive early warning indicators, execute preset emergency response measures.

[0070] In summary, this embodiment provides a hierarchical early warning response method, which dynamically calculates the amount of water entering the reservoir by integrating rainfall, rainfall intensity and geographic information, estimates the difference in flood discharge capacity in real time in combination with drainage flow, and further introduces the water level rise rate to construct a comprehensive early warning index, thereby achieving an accurate assessment of the risk of the tailings pond during rainfall. This indicator combines the inflow-outflow balance relationship with the water level change trend, avoids misjudgment caused by a single parameter early warning, and improves the sensitivity and accuracy of the early warning. At the same time, the system can automatically trigger corresponding emergency response measures according to the level of the comprehensive indicator, such as opening the chute cover, evacuating personnel or starting flood discharge facilities, forming a full-process closed-loop control mechanism of monitoring-assessment-response, and effectively improving the safety and control level of the tailings pond in extreme weather.

[0071] In one embodiment, the geographic information specifically includes: surface runoff coefficient and the diversion coefficient ; The surface runoff coefficient The diversion coefficient is calibrated by the historical rainfall data and historical runoff data of the area where the tailings pond is located. Specifically, it is determined by calibrating the flood interception capacity of the area where the tailings pond is located.

[0072] In practical applications, the surface runoff coefficient It is a coefficient used to measure the proportion of surface rainfall that is converted into surface runoff (i.e. not absorbed by the soil or evaporated). The value range is usually between 0 and 1. It is calculated by the runoff coefficient method, specifically:

[0073] ;

[0074] in, represents the total runoff volume, represents the total amount of rainfall; Represents the catchment area.

[0075] In practical applications, the split coefficient This represents the proportion of rainwater that is intercepted or diverted by artificial drainage facilities (such as drainage ditches, intercepting ditches, and diversion channels) during rainfall. It reflects the amount of water that is "diverted" by the drainage system before entering the tailings pond and is an important correction factor in the calculation of water inflow to the tailings pond.

[0076] ;

[0077] in, Indicates the amount of water removed by the drainage setting. Indicates the total amount of water that should have flowed into the tailings pond. When , it means there is no diversion and all water flows into the tailings pond; when When , it means that almost all the incoming water has been discharged and there is almost no water entering the reservoir.

[0078] In one embodiment, the calculation of the water inflow , specifically including:

[0079] ;

[0080] in, Indicates the rainfall in the area where the tailings pond is located; Indicates the catchment area of ​​the area where the tailings pond is located; Indicates the rainfall intensity in the area where the tailings pond is located.

[0081] In actual use, when calculating the amount of water entering the reservoir, the factor of the diversion coefficient is specifically , indicating the diversion coefficient It is used to deduct the part that is pre-diverted by the drainage system to obtain the actual amount of water entering the tailings pond.

[0082] The effect of rainfall intensity on surface runoff is nonlinear. The greater the rainfall intensity, the easier it is to generate surface runoff per unit area, but the growth trend slows down. Rather than directly To fit a more reasonable hydrological response.

[0083] This formula integrates the key factors that affect the amount of water entering the tailings pond and reflects the comprehensive effect of rainfall and water collection process. represents the total rainfall, The catchment area directly determines the basic scale of the collected water volume; The nonlinear effect of rainfall intensity is introduced to accord with the fact that "sudden rain is more likely to generate runoff" in practice, but the square root is used to avoid over-amplification of short-term heavy rainfall. is the surface runoff coefficient, which reflects the regulation of surface conditions such as topography, soil, and vegetation on runoff efficiency; The formula takes into account the interception of rainwater by drainage ditches and other facilities, making reasonable reductions and corrections to the actual inflow. Overall, this formula integrates hydrophysical and engineering flood discharge conditions and can effectively predict the inflow of water into the tailings pond.

[0084] In one embodiment, the flood discharge capacity difference and the water level rise rate to calculate the comprehensive early warning index , specifically including:

[0085] ;

[0086] in, represents a comprehensive early warning indicator; Indicates the water level; Indicates the rate of water level rise; Represents the water level sensitivity weighting factor.

[0087] In practical applications, early warning indicators Reasonably quantify and integrate the two core dynamic factors of tailings dam safety risk. First, It reflects the relative difference between the amount of water entering the reservoir and the flood discharge capacity, and directly reveals the water balance state. If the amount of water entering the reservoir continues to exceed the flood discharge capacity, the water level in the reservoir will inevitably rise, and the risk will increase. Secondly, the water level rise rate It captures the dynamic trend of water level changes, can reflect the speed of water level rise, and supplements the reservoir response hysteresis or drainage system efficiency issues that may be ignored by simple flow difference; parameters As a weighting factor, it adjusts the impact of water level changes on the comprehensive indicator, achieving dynamic optimization of sensitivity. By combining the complementary perspectives of flow and water level, this indicator improves the accuracy and timeliness of early warnings. It can more comprehensively and promptly reflect the safety risk level of tailings ponds, facilitate scientific decision-making and graded response, and reflect the multidimensional and dynamic nature of risk assessment.

[0088] In one embodiment, the surface runoff coefficient And the water level sensitivity weight factor All are dynamically calibrated through federated learning algorithms.

[0089] In practical applications, federated learning is a distributed machine learning method. Its core idea is to train model parameters independently in multiple data sources, and then upload the model updates from each location to the central server for aggregation and fusion to generate a global optimization model. The updated model is then distributed to each participating node. In this embodiment, federated learning is used to calculate the surface runoff coefficient based on the area where the tailings pond is located. and water level sensitivity weighting factor Perform local calculations and upload the results to the server. After dynamic calibration, the model is combined with multiple data sources in other tailings ponds, so that the model can more accurately adapt to the terrain, hydrological conditions and operating conditions of different tailings ponds, thereby improving the accuracy and generalization ability of the early warning system.

[0090] In one embodiment, executing preset emergency response measures based on the comprehensive early warning indicators specifically includes:

[0091] when When the risk is very low, the system will continue to monitor without taking any other measures; the system will be kept in a low-load state to avoid false triggering and waste of resources; no intervention will be made when the risk is extremely low, which will help the system save energy, operate efficiently, and reduce the possibility of human interference and misoperation;

[0092] when Increase the frequency of inspections and check the status of flood drainage facilities when necessary; in the low-risk stage, conduct low-cost manual inspections and facility status checks to enhance awareness of equipment operating status, which helps to detect drainage blockages, equipment aging and other problems in advance, implement preventive maintenance, and avoid risk accumulation;

[0093] when When the water level rises, some chute covers are opened to expand the flow section. By partially opening the chute covers, the flow section is increased and the drainage capacity is enhanced. At the same time, it does not rely entirely on the emergency system, taking into account both safety and system load control. It has a certain adjustment capacity, which can delay the rising trend of the water level and buy time for further response.

[0094] when When the tailings dam is in an unstable state, the chute cover is fully opened and personnel in the downstream low-risk area are evacuated. Fully opening the chute cover can maximize the discharge flux. At the same time, personnel evacuation measures are initiated in advance, which can effectively avoid the risk of casualties caused by potential instability of the tailings dam. This is the simultaneous implementation of engineering response and safety response, ensuring the safety of manpower and equipment.

[0095] when When a flood occurs, emergency flood discharge facilities are activated, triggering sound and light alarms and full evacuation orders. This level represents the highest risk response. By activating emergency facilities such as spillways or flood discharge pumps, water is discharged quickly and compulsorily to lower the reservoir water level. Sound and light alarms and full evacuation ensure the safety of people downstream, achieving automation, rapid response, and multi-channel linkage under the most extreme working conditions, minimizing disaster losses.

[0096] In practical applications, the graded response design takes into account response efficiency, resource utilization and safety assurance, embodies the technical progression from light intervention to comprehensive disposal, control accuracy and emergency reliability, adapts to various rainfall intensities and terrain and hydrological conditions, and improves the intelligence level of tailings pond risk management.

[0097] In one embodiment, the method further comprises:

[0098] After executing the emergency response measures, it is determined whether the comprehensive warning indicator drops below the warning threshold after a predetermined time. If so, monitoring is continued; if not, the emergency response measures are upgraded.

[0099] In practice, the system sets a predetermined time window during which it continuously monitors changes in the comprehensive early warning indicator S. At the end of this time window, the system determines whether the current S value has fallen below a safety threshold (for example, S ≤ 0.2 or lower). This indicates that rainfall may have weakened, the rising water level trend has been effectively curbed, flood drainage capacity has been restored, and on-site risks have been reduced.

[0100] If this condition is met (the S value drops below the threshold), the system will determine that the risk has been mitigated and there is no need to upgrade the response measures. It will only retain the monitoring status and maintain alert.

[0101] If these conditions are not met—that is, if the comprehensive early warning indicator remains in the high-risk range or continues to rise—the previous response was insufficient to control the risk. For example, if rainfall continues or intensifies, water levels continue to rise rapidly, or the drainage system is clogged or inefficient, the system will automatically upgrade the emergency response level, for example, from simply opening the chute to forced flood discharge with audible and visual alarms, further strengthening prevention and control measures to prevent the risk of the tailings pond from worsening.

[0102] Based on the above scheme, a closed-loop response mechanism can be formed, which is not a one-time warning, but a continuous assessment + dynamic adjustment; it avoids the problems of over-response or under-response and improves the efficiency of resource utilization; the system has the ability of "self-correction" and can make appropriate decisions in time under various uncertainties; it is conducive to the safe dispatch of on-site personnel and reduces the safety risks caused by misjudgment or missed judgment.

[0103] Example 2

[0104] See also Figure 2 , a tailings pond rainfall safety early warning device, the tailings pond rainfall safety early warning device comprises:

[0105] The first calculation unit 1 is used to calculate the amount of water entering the reservoir ; The amount of water entering the reservoir Specifically, the rainfall amount, the rainfall intensity and the geographical information of the area where the tailings pond is located are calculated and generated;

[0106] The second calculation unit 2 is used to calculate the drainage flow rate based on the drainage flow rate. And the amount of water entering the reservoir Calculate the difference in flood discharge capacity ;

[0107] The third calculation unit 3 is used to calculate the flood discharge capacity difference based on the flood discharge capacity difference. and the water level rising rate, and calculate the comprehensive early warning index; the water level rising rate is specifically the ratio of the difference in water level height change to the rising time;

[0108] The emergency response unit 4 is configured to execute preset emergency response measures based on the comprehensive warning indicators.

[0109] The specific definition of the tailings pond rainfall safety warning device can be found in the definition of the tailings pond rainfall safety warning method above, and will not be repeated here. The various modules in the above-mentioned tailings pond rainfall safety warning device can be implemented in whole or in part through software, hardware, or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0110] Those skilled in the art will understand that Figure 2 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation of the scheme of the present application. The specific tailings pond rainfall safety warning device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0111] Example 3

[0112] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the tailings pond rainfall safety warning method as described in Example 1.

[0113] Example 4

[0114] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium, an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The computer program is executed by the processor to implement the tailing pond rainfall safety early warning method.

[0115] Those skilled in the art can understand that, Figure 3 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0116] In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the following steps:

[0117] S1, calculating the storage water quantity ; the storage water quantity is specifically calculated and generated comprehensively from the rainfall, the rainfall intensity and the geographic information of the area where the tailing pond is located;

[0118] S2, calculating the flood discharge capacity difference based on the drainage flow and the storage water quantity ;

[0119] S3, calculating the comprehensive early warning index based on the flood discharge capacity difference and the water level rise rate; the water level rise rate is specifically the ratio of the difference between the water level height changes and the rising time;

[0120] S4, executing the preset emergency response measures based on the comprehensive early warning index.

[0121] In one embodiment, the geographic information specifically includes a surface runoff coefficient and a flow splitting coefficient ; the surface runoff coefficient is calibrated through historical rainfall data and historical runoff data of the area where the tailing pond is located, and the flow splitting coefficient is specifically calibrated through the flood interception capacity of the area where the tailing pond is located.

[0122] In one embodiment, the calculation of the storage water quantity specifically includes:

[0123] ;

[0124] in, Indicates the rainfall in the area where the tailings pond is located; Indicates the catchment area of ​​the area where the tailings pond is located; Indicates the rainfall intensity in the area where the tailings pond is located.

[0125] In one embodiment, the flood discharge capacity difference and the rate of water level rise, and calculate comprehensive early warning indicators, including:

[0126] ;

[0127] in, represents a comprehensive early warning indicator; Indicates the water level; Indicates the rate of water level rise; Represents the water level sensitivity weighting factor.

[0128] In one embodiment, the surface runoff coefficient And the water level sensitivity weight factor All are dynamically calibrated through federated learning algorithms.

[0129] In one embodiment, executing preset emergency response measures based on the comprehensive early warning indicators specifically includes:

[0130] when When the situation worsens, continue monitoring and take no other measures;

[0131] when Increase the frequency of inspections and check the status of flood drainage facilities;

[0132] when When opening, partially open the chute cover to expand the flow section;

[0133] when When the chute cover is fully opened, the personnel in the downstream low-risk area shall be evacuated;

[0134] when When the flood is reported, the emergency flood discharge facilities will be activated, triggering the sound and light alarm and full evacuation instructions.

[0135] In one embodiment, the method further includes: after executing the emergency response measures, determining whether the comprehensive warning indicator drops below the warning threshold after a predetermined time, if so, continuing monitoring; if not, upgrading the emergency response measures.

[0136] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0137] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0138] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A tailings pond rainfall safety early warning method, characterized in that: Applied to the tailings pond rainfall safety early warning system, the system includes: Rain gauges to monitor rainfall amount and intensity in the tailings pond area; Water level sensor, used to measure the water level in the tailings pond; A flow meter is installed at the outlet of the tailings pond to monitor the drainage flow of the tailings pond. ; The method comprises: Calculate water inflow ; The amount of water entering the reservoir Specifically, it is generated by comprehensive calculation of the rainfall, the rainfall intensity and the geographical information of the area where the tailings pond is located; the geographical information specifically includes: surface runoff coefficient and the diversion coefficient ; The surface runoff coefficient The diversion coefficient is calibrated by the historical rainfall data and historical runoff data of the area where the tailings pond is located. Specifically, the flood interception capacity of the area where the tailings pond is located is calibrated; the amount of water entering the pond is calculated. , specifically including: ； in, Indicates the rainfall in the area where the tailings pond is located; Indicates the catchment area of ​​the area where the tailings pond is located; Indicates the rainfall intensity in the area where the tailings pond is located; Based on the drainage flow And the amount of water entering the reservoir Calculate the difference in flood discharge capacity ; Based on the flood discharge capacity difference and the rate of water level rise, and calculate comprehensive early warning indicators, including: ； in, represents the comprehensive early warning indicator; Indicates the water level; Indicates the rate of water level rise; represents the water level sensitivity weight factor; the water level rise rate is specifically the ratio of the difference in water level height change to the rise time; Based on the comprehensive early warning indicators, the preset emergency response measures are executed.

2. The tailings pond rainfall safety early warning method according to claim 1, characterized in that: The surface runoff coefficient And the water level sensitivity weight factor All are dynamically calibrated through federated learning algorithms.

3. The tailings pond rainfall safety early warning method according to claim 1, characterized in that: The implementation of preset emergency response measures based on the comprehensive early warning indicators specifically includes: when When the situation worsens, continue monitoring and take no other measures; when Increase the frequency of inspections and check the status of flood drainage facilities; when When opening, partially open the chute cover to expand the flow section; when When the chute cover is fully opened, the personnel in the downstream low-risk area are evacuated. when When the flood is reported, the emergency flood discharge facilities will be activated, triggering the sound and light alarm and full evacuation instructions.

4. The tailings pond rainfall safety early warning method according to claim 1, characterized in that: The method further comprises: After executing the emergency response measures, it is determined whether the comprehensive warning indicator drops below the warning threshold after a predetermined time. If so, monitoring is continued; if not, the emergency response measures are upgraded.

5. Tailings pond rainfall safety warning device, characterized in that: The tailings pond rainfall safety early warning device is applied to the tailings pond rainfall safety early warning system, and the system includes: Rain gauges to monitor rainfall amount and intensity in the tailings pond area; Water level sensor, used to measure the water level in the tailings pond; A flow meter is installed at the outlet of the tailings pond to monitor the drainage flow of the tailings pond. ; The device comprises: The first calculation unit is used to calculate the amount of water entering the reservoir ; The amount of water entering the reservoir Specifically, it is generated by comprehensive calculation of the rainfall, the rainfall intensity and the geographical information of the area where the tailings pond is located; the geographical information specifically includes: surface runoff coefficient and the diversion coefficient ; The surface runoff coefficient The diversion coefficient is calibrated by the historical rainfall data and historical runoff data of the area where the tailings pond is located. Specifically, the flood interception capacity of the area where the tailings pond is located is calibrated; the amount of water entering the pond is calculated. , specifically including: ； in, Indicates the rainfall in the area where the tailings pond is located; Indicates the catchment area of ​​the area where the tailings pond is located; Indicates the rainfall intensity in the area where the tailings pond is located; The second calculation unit is used to calculate the drainage flow rate based on the drainage flow rate. And the amount of water entering the reservoir Calculate the difference in flood discharge capacity ; The third calculation unit is used to calculate the flood discharge capacity difference based on the flood discharge capacity difference. and the rate of water level rise, and calculate comprehensive early warning indicators, including: ； in, represents the comprehensive early warning indicator; Indicates the water level; Indicates the rate of water level rise; represents the water level sensitivity weight factor; the water level rise rate is specifically the ratio of the difference in water level height change to the rise time; The emergency response unit is used to execute preset emergency response measures based on the comprehensive early warning indicators.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the tailings pond rainfall safety early warning method according to any one of claims 1 to 4 is implemented.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the tailings pond rainfall safety early warning method as described in any one of claims 1 to 4 is implemented.

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