Tailing pond fill dam settlement dynamic early warning method and device

Abstract

The invention discloses a tailing pond fill dam settlement dynamic early warning method and device, and relates to the technical field of tailing dam monitoring and early warning. The method comprises the steps that the vertical consolidation coefficient of tailings and the vertical consolidation coefficient of an accumulation sub-dam are determined; according to the bearing pressure of the target sub-dam, the bearing pressure of the tailings below the target sub-dam, the first model parameters and the second model parameters, the porosity of the target sub-dam after bearing pressure and the porosity of the tailings below the target sub-dam after bearing pressure are calculated respectively; calculating the total settling volume of tailings below the target sub-dam; determining a relation function of settling volume and time of the target sub-dam and tailings below the target sub-dam; according to a relation function between the settlement amount of the target sub-dam and tailings below the target sub-dam and time, the settlement rate early warning value of the target sub-dam in each time period is determined; and the actual settlement amount of the target sub-dam in a certain time period is obtained, and according to the actual settlement amount and the settlement rate early warning value, early warning of the corresponding grade is sent out. By adopting the method, the accuracy of tailing pond fill dam settlement early warning can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of tailings dam monitoring and early warning, and particularly to a method and device for dynamically warning the settlement of the stacked dam of a tailings reservoir. Background Art

[0002] The dam body of a tailings reservoir is generally formed by gradually stacking tailings sand, which is a loose stacked body. Compared with the concrete dam and earth-rock rolled dam of a reservoir dam, the dam body has poor stability and is prone to seepage failures such as piping and soil flow, so the risks of dam body collapse and dam break are relatively high. Conducting safety monitoring on the tailings reservoir, sending early warning information for abnormal changes in the state of the tailings reservoir and dealing with them in a timely manner is one of the effective means to effectively contain the risk of dam break of the tailings reservoir.

[0003] The state requires all tailings reservoirs to be equipped with an online monitoring system, but there is a lack of systematic research on the setting of early warning thresholds. Although the national standard "Code for Engineering Technology of Online Safety Monitoring System for Tailings Reservoirs" (GB51108 - 2015) makes a principled requirement for the setting of the early warning value of the dam body settlement rate, due to the lack of a scientific and reasonable calculation method, the normal operation value still cannot be determined. At the practical operation level, tailings reservoir enterprises usually set the displacement rate early warning value as a fixed value, and this early warning threshold never changes, which does not conform to the objective law of dam body settlement. As a result, the early warning threshold of the dam body settlement rate of some tailings reservoirs is set too large, and no alarm information will be sent even if risks occur in the tailings reservoir; while for some other tailings reservoirs, the early warning threshold is set too small, and the online monitoring system keeps sending early warning information, resulting in inaccurate early warning and unable to truly reflect the risk of dam break of the tailings reservoir; some tailings reservoirs take the displacement change value in the previous period as the normal early warning value, and also take it as the normal operation value when the displacement of the tailings reservoir changes, which cannot be used as the normal operation value. When used as the early warning threshold, the risk of the tailings reservoir cannot be predicted.

[0004] The disadvantages of the traditional method for setting the early warning threshold of the settlement rate of the tailings stacked dam are as follows: First, there is no clear calculation method for the dam body settlement rate. Usually, the normal operation value of the dam body settlement rate is obtained by empirical analogy, ignoring the differences in the physical properties of different tailings, resulting in inaccurate calculated early warning thresholds; second, the traditional early warning threshold of the dam body settlement rate is set as a fixed value and does not change throughout the entire life cycle of the tailings dam, which does not conform to the objective law of tailings settlement and increases the frequency of false alarms and missed alarms; third, it is impossible to determine whether the set normal operation value is the normal operation value, which may lead to the failure to play the role of early warning. Summary of the Invention

[0005] In order to solve the technical problem of inaccurate early warning thresholds existing in the prior art, the embodiments of the present invention provide a method and device for dynamically warning the settlement of the stacked dam of a tailings reservoir. The technical solution is as follows:

[0006] On the one hand, a method for dynamic warning of the settlement of the tailings dam in a tailings pond is provided. This method is implemented by the dynamic warning device for the settlement of the tailings dam in the tailings pond, and this method includes:

[0007] S1. Determine the first model parameter and the second model parameter by fitting the e-p curve of the tailings sand, and determine the vertical consolidation coefficient of the tailings sand and the vertical consolidation coefficient of the stacked sub-dam;

[0008] S2. Calculate the bearing pressure of the target sub-dam and the bearing pressure of the tailings sand below the target sub-dam. According to the bearing pressure of the target sub-dam, the bearing pressure of the tailings sand below the target sub-dam, the first model parameter and the second model parameter, calculate the porosity of the target sub-dam after bearing pressure and the porosity of the tailings sand below the target sub-dam after bearing pressure respectively;

[0009] S3. Calculate the total settlement of the target sub-dam according to the porosity of the target sub-dam after bearing pressure, and calculate the total settlement of the tailings sand below the target sub-dam according to the porosity of the tailings sand below the target sub-dam after bearing pressure;

[0010] S4. Determine the relationship function between the settlement amount and time of the target sub-dam and the tailings sand below it according to the total settlement amount of the target sub-dam, the total settlement amount of the tailings sand below the target sub-dam, the vertical consolidation coefficient of the tailings sand and the vertical consolidation coefficient of the stacked sub-dam;

[0011] S5. Determine the warning value of the settlement rate for each time period of the target sub-dam according to the relationship function between the settlement amount and time of the target sub-dam and the tailings sand below it;

[0012] S6. Obtain the actual settlement amount of a certain time period of the target sub-dam, and issue a warning of the corresponding level according to the actual settlement amount and the warning value of the settlement rate.

[0013] On the other hand, a device for dynamic warning of the settlement of the tailings dam in a tailings pond is provided. This device is applied to the method for dynamic warning of the settlement of the tailings dam in the tailings pond, and this device includes:

[0014] A fitting module, which is used to determine the first model parameter and the second model parameter by fitting the e-p curve of the tailings sand, and determine the vertical consolidation coefficient of the tailings sand and the vertical consolidation coefficient of the stacked sub-dam;

[0015] A first calculation module, which is used to calculate the bearing pressure of the target sub-dam and the bearing pressure of the tailings sand below the target sub-dam, and calculate the porosity of the target sub-dam after bearing pressure and the porosity of the tailings sand below the target sub-dam after bearing pressure respectively according to the bearing pressure of the target sub-dam, the bearing pressure of the tailings sand below the target sub-dam, the first model parameter and the second model parameter;

[0016] A second calculation module, which is used to calculate the total settlement of the target sub-dam according to the porosity of the target sub-dam after bearing pressure, and calculate the total settlement of the tailings sand below the target sub-dam according to the porosity of the tailings sand below the target sub-dam after bearing pressure;

[0017] A first determination module, configured to determine a relationship function between the settlement amount and time of the target sub-dam and the tailings below it according to the total settlement amount of the target sub-dam, the total settlement amount of the tailings below the target sub-dam, the vertical consolidation coefficient of the tailings, and the vertical consolidation coefficient of the stacked sub-dam;

[0018] A second determination module, configured to determine the settlement rate warning value of each time period of the target sub-dam according to the relationship function between the settlement amount and time of the target sub-dam and the tailings below it;

[0019] A warning module, configured to obtain the actual settlement amount of a certain time period of the target sub-dam, and issue a warning of the corresponding level according to the actual settlement amount and the settlement rate warning value.

[0020] On the other hand, a dynamic warning device for the settlement of the stacked dam of a tailings pond is provided. The dynamic warning device for the settlement of the stacked dam of the tailings pond includes: a processor; a memory, and a computer-readable instruction is stored on the memory. When the computer-readable instruction is executed by the processor, any one of the methods in the above-mentioned dynamic warning method for the settlement of the stacked dam of the tailings pond is implemented.

[0021] On the other hand, a computer-readable storage medium is provided. At least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement any one of the methods in the above-mentioned dynamic warning method for the settlement of the stacked dam of the tailings pond.

[0022] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention at least include:

[0023] In the embodiments of the present invention, a dynamic warning method for the settlement of the stacked dam of a tailings pond is provided. On the one hand, starting from the physical properties of the tailings, based on the basic principle that the change in the bearing pressure of the tailings dam leads to the change in porosity, an analytical calculation formula for the settlement rate of the tailings dam is obtained. All calculation parameters are obtained through objective means such as experiments and measurements, solving the problem that there is no clear calculation formula for the normal operation value of the dam settlement rate; on the other hand, the change of the dam settlement rate with the year is obtained, so as to dynamically set the warning threshold of the dam settlement rate, which more conforms to the objective law of the tailings dam settlement and improves the accuracy of the warning. Description of the Drawings

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0025] Figure 1It is a flowchart of a method for dynamically warning of the settlement of a tailings pond stacking dam provided by an embodiment of the present invention;

[0026] Figure 2 It is a longitudinal sectional view of a tailings pond provided by an embodiment of the present invention;

[0027] Figure 3 It is a block diagram of a device for dynamically warning of the settlement of a tailings pond stacking dam provided by an embodiment of the present invention;

[0028] Figure 4 It is a schematic structural diagram of a device for dynamically warning of the settlement of a tailings pond stacking dam provided by an embodiment of the present invention. Detailed implementation manners

[0029] Next, the technical solutions in the present invention will be described with reference to the accompanying drawings.

[0030] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of the word "example" is intended to present concepts in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0031] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same.

[0032] In the embodiments of the present invention, sometimes subscripts such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meanings they express are the same.

[0033] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0034] The embodiments of the present invention provide a method for dynamically warning of the settlement of a tailings pond stacking dam. This method can be implemented by a device for dynamically warning of the settlement of a tailings pond stacking dam, and this device for dynamically warning of the settlement of a tailings pond stacking dam can be a terminal or a server. As Figure 1 shown in the flowchart of the method for dynamically warning of the settlement of a tailings pond stacking dam, the processing flow of this method can include the following steps:

[0035] S1. Determine the first model parameter and the second model parameter by fitting the e-p curve of the tailings, and determine the vertical consolidation coefficient of the tailings and the vertical consolidation coefficient of the stacked sub-dam.

[0036] Optionally, the specific operation method of S1 may include the following S11-S14:

[0037] S11. Through laboratory compression tests, measure the void ratio of the tailings under different pressures , fit the measured e-p relationship to obtain the first model parameter A and the second model parameter B, and use the following formula (1) to represent the e-p curve of the tailings: (1)

[0038] (1)

[0039] Where, represents the compression porosity; represents the initial porosity of the tailings, measured through experiments; represents the bearing pressure; A represents the first model parameter, and B represents the second model parameter;

[0040] S12. Use the following formula (2) to represent the curve of the stacked sub-dam:

[0041] (2)

[0042] Where, represents the initial porosity of the stacked sub-dam after compaction, measured through experiments;

[0043] S13. Determine the permeability coefficient and the compression coefficient of the tailings in the state of the initial porosity through laboratory consolidation tests, and calculate the vertical consolidation coefficient of the tailings through the following formula (3):

[0044] (3)

[0045] Where, represents the consolidation coefficient of the tailings in the state of the initial porosity , m 2 / year; represents the permeability coefficient of the tailings in the state of the initial porosity , m / year; represents the compression coefficient, kPa-1; represents the unit weight of water, = 1000 kg / m 3 ;

[0046] S14. Determine the permeability coefficient of the stacked sub-dam at the initial porosity through laboratory consolidation tests under the state . Since the tailings sand and the soil of the stacked sub-dam are the same, the compression coefficient is approximately the same. The vertical consolidation coefficient of the stacked sub-dam is expressed by the following formula (4):

[0047] (4)

[0048] where represents the vertical consolidation coefficient of the stacked sub-dam at the initial porosity under the state, m 2 / year; represents the permeability coefficient of the stacked sub-dam at the initial porosity under the state, m / year.

[0049] In a feasible implementation manner, the following case is cited to illustrate each step in the embodiment of the present invention:

[0050] After the tailings sand of a lead-zinc tailings reservoir is tested, the basic parameters obtained are shown in Table 1.

[0051] Table 1 Physical parameters of lead-zinc tailings sand measured in the laboratory

[0052]

[0053] Currently, the 3rd-level sub-dam of this tailings reservoir has been completed, and displacement monitoring points have been set at the 3rd level. According to the dam construction records and the measured longitudinal profile of the tailings reservoir, the dam construction parameters of each level of sub-dam are obtained, as shown in Table 2.

[0054] Table 2 Dam construction parameters of each level of sub-dam

[0055]

[0056] According to the above working conditions, use the present invention to determine the early warning value of the dam settlement rate of the 3rd-level sub-dam of this tailings reservoir from November 2023 to November 2026 every year.

[0057] According to the test results, determine the curve of this lead-zinc tailings sand as:

[0058]

[0059] The vertical consolidation coefficient of the tailings sand is:

[0060]

[0061] The curve of the stacked sub-dam is:

[0062]

[0063] The vertical consolidation coefficient of the stacked subsidiary dam is as follows:

[0064]

[0065] S2. Calculate the bearing pressure of the target subsidiary dam and the bearing pressure of the tailings sand below the target subsidiary dam. According to the bearing pressure of the target subsidiary dam, the bearing pressure of the tailings sand below the target subsidiary dam, the first model parameter, and the second model parameter, calculate the porosity of the target subsidiary dam after bearing pressure and the porosity of the tailings sand below the target subsidiary dam after bearing pressure respectively.

[0066] Optionally, the heights of the target subsidiary dam and the tailings sand below the target subsidiary dam can be obtained in the following way:

[0067] As Figure 2 shown, read the elevation of the dam crest corresponding to the center line of the target subsidiary dam, the elevation of the dam bottom corresponding to the center line of the target subsidiary dam, and the elevation of the bottom of the tailings pond corresponding to the center line of the target subsidiary dam from the longitudinal section of the tailings pond. Among them, the height of the target subsidiary dam is the distance from the elevation of the dam crest corresponding to the center line of the target subsidiary dam to the elevation of the dam bottom corresponding to the center line of the target subsidiary dam, and the height of the tailings sand below the target subsidiary dam is the distance from the elevation of the dam bottom corresponding to the center line of the target subsidiary dam to the elevation of the bottom of the tailings pond corresponding to the center line of the target subsidiary dam.

[0068] In a feasible implementation, calculate the heights of the target subsidiary dam and the tailings sand below it. Taking the 3rd - level subsidiary dam as an example, the elevation of the dam crest corresponding to its center line is 826.51 m, the elevation of the dam bottom corresponding to its center line is 824.31 m, and the elevation of the bottom of the tailings pond corresponding to its center line is 795.61 m. Then the height of the 3rd - level subsidiary dam is 2.2 m, and the height of the tailings sand below the 3rd - level subsidiary dam is 28.7 m.

[0069] Optionally, the specific operation method of S2 includes the following S21 - S24:

[0070] S21. According to the density and height of the target subsidiary dam, calculate the bearing pressure of the target subsidiary dam according to the following formula (5):

[0071] (5)

[0072] Among them, represents the bearing pressure of the target subsidiary dam, kPa; represents the density of the target subsidiary dam, measured in the laboratory, kg / m 3 ; represents the height of the target subsidiary dam, m;

[0073] S22. According to the density, height of the tailings sand below the target subsidiary dam, and the following formula (6), calculate the bearing pressure of the tailings sand below the target subsidiary dam:

[0074] (6)

[0075] Among them, represents the bearing pressure of the tailings sand below the target sub-dam, kPa; represents the density of the tailings sand below the target sub-dam, measured through experiments, kg / m 3 ; represents the height of the tailings sand below the target sub-dam, m;

[0076] S23. According to the curve and the following formula (7), calculate the porosity of the target sub-dam after bearing pressure:

[0077] (7)

[0078] Among them, represents the porosity of the target sub-dam after bearing pressure calculated; represents the initial porosity of the target sub-dam, measured through experiments;

[0079] S24. According to the curve and the following formula (8), calculate the porosity of the tailings sand below the target sub-dam after bearing pressure:

[0080] (8)

[0081] Among them, represents the porosity of the tailings sand below the target sub-dam after bearing pressure.

[0082] In a feasible implementation manner, continue to illustrate according to the above example:

[0083] Calculate the porosity of the target sub-dam and the tailings sand below it after bearing pressure,

[0084] First, calculate the bearing pressure of the 3rd-level sub-dam:

[0085]

[0086] Then, calculate the bearing pressure of the tailings sand below the 3rd-level sub-dam:

[0087]

[0088] The bearing porosity of the 3rd-level sub-dam is:

[0089]

[0090] The bearing porosity of the tailings sand below the 3rd-level sub-dam is:

[0091]

[0092] S3. Calculate the total settlement of the target sub-dam based on the porosity of the target sub-dam after pressure-bearing, and calculate the total settlement of the tailings below the target sub-dam based on the porosity of the tailings below the target sub-dam after pressure-bearing.

[0093] Optionally, the specific operation method of S3 includes S31 - S32:

[0094] S31. Calculate the total settlement of the target sub-dam according to the porosity of the target sub-dam after pressure-bearing and the following formula (9):

[0095] (9)

[0096] Wherein, represents the total settlement of the target sub-dam, m;

[0097] S32. Calculate the total settlement of the tailings below the target sub-dam according to the porosity of the tailings below the target sub-dam after pressure-bearing and the following formula (10):

[0098] (10)

[0099] Wherein, represents the total settlement of the tailings below the target sub-dam, m.

[0100] In a feasible implementation manner, continue to illustrate according to the above example:

[0101] Calculate the total settlement of the 3rd-level sub-dam and the tailings below it. The total settlement height of the 3rd-level sub-dam is:

[0102]

[0103] The total settlement height of the tailings below the 3rd-level sub-dam is:

[0104]

[0105] S4. Determine the relationship function between the settlement and time of the target sub-dam and the tailings below it according to the total settlement of the target sub-dam, the total settlement of the tailings below the target sub-dam, the vertical consolidation coefficient of the tailings, and the vertical consolidation coefficient of the stacked sub-dam.

[0106] Optionally, the specific operation method of S4 can include S41 - S42:

[0107] S41. Represent the relationship function between the settlement and time of the target sub-dam by the following formula (11) according to the total settlement of the target sub-dam and the vertical consolidation coefficient of the stacked sub-dam:

[0108] (11)

[0109] Wherein, represents the target sub-dam at Settlement at a certain moment, m Indicates time, in years;

[0110] S42. According to the total settlement of the tailings below the target sub-dam and the vertical consolidation coefficient of the tailings, the relationship function between the settlement of the target sub-dam and the tailings below it and time is expressed by the following formula (12):

[0111] (12)

[0112] Wherein, Indicates the settlement of the target sub-dam and the tailings below it at a certain moment, m.

[0113] In a feasible implementation manner, continue to illustrate according to the above example:

[0114] Obtain the relationship function between the settlement of the tailings below the 3rd-level sub-dam and time. The relationship between the settlement of the target sub-dam and the function is:

[0115]

[0116] The expression of the relationship between the settlement of the tailings below the target sub-dam and the function is:

[0117]

[0118] Wherein, is time, in the unit of year.

[0119] S5. Determine the settlement rate warning value for each time period of the target sub-dam according to the relationship function between the settlement of the target sub-dam and the tailings below it and time.

[0120] Optionally, the specific operation steps of S5 can be as follows:

[0121] Taking the completion moment of the target sub-dam stacking as the initial moment, that is , calculate the settlement of the target sub-dam in the nth year as , The unit of is m / year;

[0122] Taking the completion moment of the target sub-dam stacking as the initial moment, that is , calculate the settlement of the tailings below the target sub-dam in the nth year as , The unit of is m / year;

[0123] Calculate the absolute settlement of the target sub-dam every year, that is, the sum of the settlement of the target sub-dam every year and the settlement of the tailings below the target sub-dam every year, that is , The unit of is m / year;

[0124] Convert the unit of to mm / month, which is the normal value of the settlement of the target sub-dam. Then, set the blue warning value of the target sub-dam in the nth year as , the yellow warning value as , the orange warning value as , and the red warning value as .

[0125] In a feasible implementation, continue the description according to the above example:

[0126] Determine the settlement rate warning values for each time period of the 3rd-level sub-dam. Take the completion time of the 3rd-level sub-dam filling, November 2023, as the initial moment. Then, the target year 2024 (specific time from November 2023 to November 2024) is the 1st year, 2025 (specific time from November 2024 to November 2025) is the 2nd year, and 2026 (specific time from November 2024 to November 2025) is the 3rd year.

[0127] Taking the 1st year as an example, the settlement amount of the tailings below the 3rd-level sub-dam in the 1st year is:

[0128]

[0129]

[0130] That is

[0131] The settlement amount of the tailings below the 3rd-level sub-dam in the 1st year is:

[0132]

[0133]

[0134] Then:

[0135] The absolute settlement amount of the 3rd-level sub-dam in the 5th year is:

[0136]

[0137] Convert the unit of to mm / month, that is:

[0138]

[0139] This is the normal value of the settlement rate of the 3rd-level sub-dam in the 1st year.

[0140] According to the early warning principle, the blue early warning value is , the yellow early warning value is , the orange early warning value is , and the red early warning value is , then the early warning values from November 2023 to November 2024 are obtained as follows: Blue = 20.16 (mm / month), Yellow = 21.84 (mm / month), Orange = 33.6 (mm / month), Red = 50.4 (mm / month).

[0141] Similarly, the normal settlement rate values of the 3rd-level secondary dam from November 2024 to November 2025 and from November 2026 to November 2027 are calculated to be 7.61 (mm / month) and 5.16 (mm / month) respectively. Then, the calculation results of the annual dam body settlement rate early warning values of the 3rd-level secondary dam of this tailings pond from November 2023 to November 2026 determined by this scheme are shown in Table 3.

[0142] Table 3 Settlement rate early warning values of the 3rd-level secondary dam from November 2023 to November 2026 (mm / month)

[0143]

[0144] It should be noted that in the present invention, the settlement rate of the dam body is calculated by the settlement amount of the dam body in an annual cycle and then averaged to each month to obtain the settlement rate of the dam body, that is, mm / month. In addition, it can also be calculated in cycles of days, months, or quarters, or the settlement rate can be expressed in mm / day or mm / week. Since the settlement of tailings is uneven and may be affected by many factors, the present invention provides an analytical formula. The settlement rate determined in too short a cycle will, on the one hand, cause the settlement rate to need to be continuously adjusted, and on the other hand, false alarms may be caused due to numerical fluctuations. At the same time, due to the current development level of sensor technology, too small a settlement rate may be lower than the monitoring accuracy of the sensor. Therefore, the present invention sets the measurement to be carried out in an annual cycle, with mm / month as the settlement rate. On the one hand, it does not need to be adjusted frequently, on the other hand, it reserves a certain margin for the early warning value, and on the third hand, considering the accuracy of the current sensor, the method is relatively reasonable.

[0145] In the present invention, the secondary dam and the tailings below it are treated as tailings of the same height and the same property. It can also be calculated by dividing the tailings into different heights and different properties according to the different properties of the tailings.

[0146] S6. Obtain the actual settlement amount of the target secondary dam in a certain time period, and issue an early warning of the corresponding level according to the actual settlement amount and the settlement rate early warning value.

[0147] In a feasible implementation manner, the actual settlement amount of the target subsidiary dam in a certain time period is obtained, and the actual settlement amount is compared with the warning value of the settlement rate to determine the current warning level of the target subsidiary dam. The method for determining the warning level can be as follows: if the actual settlement amount is higher than or equal to the blue warning value and lower than the yellow warning value, it is determined as the blue warning level; if the actual settlement amount is higher than or equal to the yellow warning value and lower than the orange warning value, it is determined as the yellow warning level; if the actual settlement amount is higher than or equal to the orange warning value and lower than the red warning value, it is determined as the orange warning level; if the actual settlement amount is higher than or equal to the red warning value, it is determined as the red warning level. After determining the current warning level of the target subsidiary dam, a warning of the corresponding level is issued.

[0148] In the embodiment of the present invention, a method for dynamically warning the settlement of the stacked dam of the tailings pond is provided. On the one hand, starting from the physical properties of the tailings sand and based on the basic principle that the change in the bearing pressure of the tailings dam leads to the change in the porosity, an analytical calculation formula for the settlement rate of the tailings dam is obtained. All calculation parameters are obtained through objective means such as experiments and measurements, solving the problem that there is no clear calculation formula for the normal operation value of the dam settlement rate. On the other hand, the change of the settlement rate of the dam with the year is obtained, so as to dynamically set the warning threshold of the dam settlement rate, which is more in line with the objective law of the settlement of the tailings dam and improves the accuracy of the warning.

[0149] Figure 3 It is a block diagram of a device for dynamically warning the settlement of the stacked dam of the tailings pond shown according to an exemplary embodiment. This device is used for the method for dynamically warning the settlement of the stacked dam of the tailings pond. Refer to Figure 3 , this device includes a fitting module 310, a first calculation module 320, a second calculation module 330, a first determination module 340, a second determination module 350, and a warning module 360. Among them:

[0150] The fitting module 310 is used to determine the first model parameter and the second model parameter by fitting the e-p curve of the tailings sand, and determine the vertical consolidation coefficient of the tailings sand and the vertical consolidation coefficient of the stacked subsidiary dam.

[0151] The first calculation module 320 is used to calculate the bearing pressure of the target subsidiary dam and the bearing pressure of the tailings sand below the target subsidiary dam, and calculate the porosity of the target subsidiary dam after bearing pressure and the porosity of the tailings sand below the target subsidiary dam after bearing pressure respectively according to the bearing pressure of the target subsidiary dam, the bearing pressure of the tailings sand below the target subsidiary dam, the first model parameter, and the second model parameter.

[0152] The second calculation module 330 is used to calculate the total settlement amount of the target subsidiary dam according to the porosity of the target subsidiary dam after bearing pressure, and calculate the total settlement amount of the tailings sand below the target subsidiary dam according to the porosity of the tailings sand below the target subsidiary dam after bearing pressure.

[0153] The first determination module 340 is used to determine the relationship function between the settlement of the target sub-dam and the tailings below the target sub-dam and time according to the total settlement of the target sub-dam, the total settlement of the tailings below the target sub-dam, the vertical consolidation coefficient of the tailings, and the vertical consolidation coefficient of the accumulation sub-dam;

[0154] The second determination module 350 is used to determine the settlement rate warning value of the target sub-dam in each time period according to the relationship function between the settlement amount of the target sub-dam and the tailings below and time;

[0155] The early warning module 360 ​​is used to obtain the actual settlement amount of the target sub-dam in a certain period of time, and issue an early warning of the corresponding level according to the actual settlement amount and the settlement rate early warning value.

[0156] Optionally, the fitting module 310 is used to:

[0157] S11. Through laboratory compression tests, the tailings are measured at different pressures. The void ratio under the action of , the measured ep relationship is fitted to obtain the first model parameter A and the second model parameter B, and the ep curve of tailings is expressed by the following formula (1):

[0158] (1)

[0159] in, represents the compression porosity; represents the initial porosity of the tailings, measured experimentally; represents the bearing pressure; A represents the first model parameter, and B represents the second model parameter;

[0160] S12, the following formula (2) is used to express the accumulation sub-dam curve:

[0161] (2)

[0162] in, It represents the initial porosity of the sub-dam after rolling, which is measured by experiment;

[0163] S13. Determination of initial porosity of tailings by laboratory consolidation test Permeability coefficient under the state and compression factor , the vertical consolidation coefficient of tailings is calculated by the following formula (3):

[0164] (3)

[0165] in, Indicates the initial porosity of tailings The consolidation coefficient under the state, m2 / year; represents the permeability coefficient of the tailings sand at the initial porosity state, m / year; represents the compression coefficient, kPa-1; represents the unit weight of water, = 1000 kg / m 3 ;

[0166] S14. Determine the permeability coefficient of the stacked sub-dam at the initial porosity state through laboratory consolidation tests , since the tailings sand and the soil of the stacked sub-dam are the same, the compression coefficient is approximately the same, and the vertical consolidation coefficient of the stacked sub-dam is expressed by the following formula (4):

[0167] (4)

[0168] where, represents the vertical consolidation coefficient of the stacked sub-dam at the initial porosity state, m 2 / year; represents the permeability coefficient of the stacked sub-dam at the initial porosity state, m / year.

[0169] Optionally, the first calculation module 320 is configured to:

[0170] S21. Calculate the bearing pressure of the target sub-dam according to the density and height of the target sub-dam according to the following formula (5):

[0171] (5)

[0172] where, represents the bearing pressure of the target sub-dam, kPa; represents the density of the target sub-dam, measured through laboratory tests, kg / m 3 ; represents the height of the target sub-dam, m;

[0173] S22. Calculate the bearing pressure of the tailings sand below the target sub-dam according to the density, height of the tailings sand below the target sub-dam and the following formula (6):

[0174] (6)

[0175] where, represents the bearing pressure of the tailings sand below the target sub-dam, kPa; represents the density of the tailings sand below the target sub-dam, measured through experiments, kg / m 3 ; Indicates the height of the tailings below the target sub-dam, m;

[0176] S23. According to the curve and the following formula (7), calculate the porosity of the target sub-dam after being pressured:

[0177] (7)

[0178] Wherein, indicates the porosity of the target sub-dam after being pressured; indicates the initial porosity of the target sub-dam, measured through experiments;

[0179] S24. According to the curve and the following formula (8), calculate the porosity of the tailings below the target sub-dam after being pressured:

[0180] (8)

[0181] Wherein, indicates the porosity of the tailings below the target sub-dam after being pressured.

[0182] Optionally, the second calculation module 330 is used for:

[0183] S31. According to the porosity of the target sub-dam after being pressured and the following formula (9), calculate the total settlement of the target sub-dam:

[0184] (9)

[0185] Wherein, indicates the total settlement of the target sub-dam, m;

[0186] S32. According to the porosity of the tailings below the target sub-dam after being pressured and the following formula (10), calculate the total settlement of the tailings below the target sub-dam:

[0187] (10)

[0188] Wherein, indicates the total settlement of the tailings below the target sub-dam, m.

[0189] Optionally, the first determination module 340 is used for:

[0190] S41. According to the total settlement of the target sub-dam and the vertical consolidation coefficient of the stacked sub-dam, use the following formula (11) to represent the relationship function between the settlement of the target sub-dam and time:

[0191] (11)

[0192] Wherein, indicates that the target sub-dam is at Settlement at a certain time, m Indicates time, in years;

[0193] S42. According to the total settlement of the tailings below the target sub-dam and the vertical consolidation coefficient of the tailings, the relationship function between the settlement of the target sub-dam and the tailings below it and time is expressed by the following formula (12):

[0194] (12)

[0195] Wherein, Indicates the settlement of the target sub-dam and the tailings below it at a certain time, m.

[0196] Optionally, the second determination module 350 is configured to:

[0197] Taking the completion time of the target sub-dam stacking as the initial time, that is , in years, calculate the settlement of the target sub-dam in the nth year as , The unit of is m / year;

[0198] Taking the completion time of the target sub-dam stacking as the initial time, that is , in years, calculate the settlement of the tailings below the target sub-dam in the nth year as , The unit of is m / year;

[0199] Calculate the absolute settlement of the target sub-dam every year, that is, the sum of the settlement of the target sub-dam every year and the settlement of the tailings below the target sub-dam every year, that is , The unit of is m / year;

[0200] Convert the unit of to mm / month, which is the normal value of the settlement of the target sub-dam , then set the blue warning value of the target sub-dam in the nth year to , the yellow warning value to , the orange warning value to , and the red warning value to .

[0201] In an embodiment of the present invention, a method for dynamically warning of the settlement of a tailings pond stacking dam is provided. On the one hand, starting from the physical properties of the tailings, based on the basic principle that the change in the bearing pressure of the tailings dam leads to the change in porosity, an analytical calculation formula for the settlement rate of the tailings dam is obtained. All calculation parameters are obtained through objective means such as experiments and measurements, solving the problem that there is no clear calculation formula for the normal operation value of the dam settlement rate. On the other hand, the change of the settlement rate of the dam with the years is obtained, so as to dynamically set the warning threshold of the dam settlement rate, which more conforms to the objective law of the tailings dam settlement and improves the accuracy of the warning.

[0202] Figure 4 FIG. is a schematic structural diagram of a device for dynamically warning of the settlement of a tailings pond stacking dam provided by an embodiment of the present invention. As Figure 4 shown, the device for dynamically warning of the settlement of a tailings pond stacking dam may include the above-mentioned Figure 3 device for dynamically warning of the settlement of a tailings pond stacking dam shown. Optionally, the device 410 for dynamically warning of the settlement of a tailings pond stacking dam may include a first processor 2001.

[0203] Optionally, the device 410 for dynamically warning of the settlement of a tailings pond stacking dam may further include a memory 2002 and a transceiver 2004.

[0204] Among them, the first processor 2001, the memory 2002, and the transceiver 2003, for example, may be connected through a communication bus.

[0205] Next, in conjunction with Figure 4 each component of the device 410 for dynamically warning of the settlement of a tailings pond stacking dam will be specifically introduced:

[0206] Among them, the first processor 2001 is the control center of the device 410 for dynamically warning of the settlement of a tailings pond stacking dam, which may be a single processor or a collective term for multiple processing elements. For example, the first processor 2001 is one or more central processing units (CPUs), or may be an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, for example: one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs).

[0207] Optionally, the first processor 2001 can execute various functions of the tailings pond stacking dam settlement dynamic warning device 410 by running or executing software programs stored in the memory 2002 and calling data stored in the memory 2002.

[0208] In a specific implementation, as an embodiment, the first processor 2001 may include one or more CPUs, such as Figure 4 the CPU0 and CPU1 shown in

[0209] In a specific implementation, as an embodiment, the tailings pond stacking dam settlement dynamic warning device 410 may also include multiple processors, such as Figure 4 the first processor 2001 and the second processor 2004 shown in

[0210] Among them, the memory 2002 is used to store the software program for implementing the solution of the present invention and is controlled by the first processor 2001 for execution. The specific implementation manner can refer to the above method embodiment and will not be elaborated here.

[0211] Optionally, the memory 2002 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but not limited thereto. The memory 2002 can be integrated with the first processor 2001 or exist independently and be coupled to the first processor 2001 through the interface circuit ( Figure 4 not shown in

[0212] A transceiver 2003 is used to communicate with a network device or a terminal device.

[0213] Optionally, the transceiver 2003 may include a receiver and a transmitter ( Figure 4 not shown separately). Among them, the receiver is used to implement the receiving function, and the transmitter is used to implement the transmitting function.

[0214] Optionally, the transceiver 2003 may be integrated with the first processor 2001, or may exist independently, and is coupled to the first processor 2001 through an interface circuit ( Figure 4 not shown) of the tailings pond stacking dam settlement dynamic warning device 410. The embodiments of the present invention do not make specific limitations on this.

[0215] It should be noted that Figure 4 the structure of the tailings pond stacking dam settlement dynamic warning device 410 shown in

[0216] does not constitute a limitation on the router. The actual knowledge structure recognition device may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0217] It should be understood that the first processor 2001 in the embodiments of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0218] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0219] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0220] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood with reference to the context.

[0221] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0222] It should be understood that in various embodiments of the present invention, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0223] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0224] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the devices, apparatuses, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0225] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in electrical, mechanical or other forms.

[0226] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0227] In addition, the functional units in the various embodiments of the present invention can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0228] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0229] As described above, the above are only specific implementation manners of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A dynamic early warning method for tailings dam settlement, characterized in that: The method comprises: S1. Determine the first model parameter and the second model parameter by fitting the ep curve of the tailings, and determine the vertical consolidation coefficient of the tailings and the vertical consolidation coefficient of the accumulation sub-dam; S2, calculating the bearing pressure of the target sub-dam and the bearing pressure of the tailings below the target sub-dam, and respectively calculating the porosity of the target sub-dam after bearing pressure and the porosity of the tailings below the target sub-dam after bearing pressure according to the bearing pressure of the target sub-dam, the bearing pressure of the tailings below the target sub-dam, the first model parameter and the second model parameter; S3. Calculate the total settlement of the target sub-dam according to the porosity of the target sub-dam after being pressurized, and calculate the total settlement of the tailings below the target sub-dam according to the porosity of the tailings below the target sub-dam after being pressurized; S4. Determine the relationship function between the settlement of the target sub-dam and the tailings below the target sub-dam and time according to the total settlement of the target sub-dam, the total settlement of the tailings below the target sub-dam, the vertical consolidation coefficient of the tailings, and the vertical consolidation coefficient of the accumulation sub-dam; S5. Determine the settlement rate warning value of the target sub-dam in each time period according to the relationship function between the settlement amount of the target sub-dam and the tailings below and time; S6. Obtain the actual settlement of the target sub-dam in a certain period of time, and issue a warning of the corresponding level according to the actual settlement and the settlement rate warning value.

2. The tailings dam settlement dynamic early warning method according to claim 1 is characterized in that: The step S1 determines the first model parameter by fitting the ep curve of the tailings, determines the second model parameter by fitting the ep curve of the accumulation sub-dam, and determines the vertical consolidation coefficient of the tailings and the vertical consolidation coefficient of the accumulation sub-dam, including: S11. Through laboratory compression tests, the tailings are measured at different pressures. The void ratio under the action of , the measured ep relationship is fitted to obtain the first model parameter A and the second model parameter B, and the ep curve of tailings is expressed by the following formula (1): （1） in, represents the compression porosity; represents the initial porosity of the tailings, measured experimentally; represents the bearing pressure; A represents the first model parameter, and B represents the second model parameter; S12, the following formula (2) is used to express the accumulation sub-dam curve: （2） in, It represents the initial porosity of the sub-dam after rolling, which is measured by experiment; S13. Determination of initial porosity of tailings by laboratory consolidation test Permeability coefficient under the state and compression factor , the vertical consolidation coefficient of tailings is calculated by the following formula (3): （3） in, Indicates the initial porosity of tailings The consolidation coefficient under the state, m 2 / Year; Indicates the initial porosity of tailings Permeability coefficient under the state, m / year; Indicates the compressibility factor, kPa-1; It represents the specific gravity of water. =1000kg / m 3 ; S14. Determination of initial porosity of the sub-dam by laboratory consolidation test Permeability coefficient under the state Since the tailings and the sub-dam have the same soil quality, the compression coefficient The vertical consolidation coefficient of the sub-dam is approximately the same as that of the sub-dam. The vertical consolidation coefficient of the sub-dam is expressed by the following formula (4): （4） in, The initial porosity of the accumulation sub-dam is Vertical consolidation coefficient under the state, m 2 / Year; The initial porosity of the accumulation sub-dam is Permeability coefficient under the state, m / year.

3. The tailings dam settlement dynamic early warning method according to claim 1 is characterized in that: The step S2 of calculating the bearing pressure of the target sub-dam and the bearing pressure of the tailings below the target sub-dam, respectively calculating the porosity of the target sub-dam after bearing pressure and the porosity of the tailings below the target sub-dam after bearing pressure according to the bearing pressure of the target sub-dam, the bearing pressure of the tailings below the target sub-dam, the first model parameter and the second model parameter, includes: S21. According to the density and height of the target sub-dam, calculate the bearing pressure of the target sub-dam according to the following formula (5): （5） in, represents the bearing pressure of the target sub-dam, kPa; Indicates the density of the target sub-dam, measured in the laboratory, kg / m 3 ; represents the height of the target sub-dam, m; S22. Calculate the bearing pressure of the tailings below the target sub-dam based on the density and height of the tailings below the target sub-dam and the following formula (6): （6） in, Indicates the bearing pressure of tailings below the target sub-dam, kPa; It indicates the density of tailings below the target sub-dam, measured by experiment, kg / m 3 ; Indicates the height of tailings below the target sub-dam, m; S23. According to The porosity of the target sub-dam after bearing pressure is calculated using the following equation (7): （7） in, It indicates the porosity of the target sub-dam after being subjected to pressure; represents the initial porosity of the target sub-dam, measured experimentally; S24, according to The porosity of tailings under the target sub-dam after being subjected to pressure is calculated using the following curve and the following formula (8): （8） in, It indicates the porosity of tailings below the target sub-dam after being pressurized.

4. The tailings dam settlement dynamic early warning method according to claim 3 is characterized in that: The step S3 calculates the total settlement of the target sub-dam according to the porosity of the target sub-dam after being pressurized, and calculates the total settlement of the tailings below the target sub-dam according to the porosity of the tailings below the target sub-dam after being pressurized, including: S31. Calculate the total settlement of the target sub-dam based on the porosity of the target sub-dam after pressure bearing and the following formula (9): （9） in, represents the total settlement of the target sub-dam, m; S32. Calculate the total settlement of the tailings below the target sub-dam based on the porosity of the tailings below the target sub-dam after pressure bearing and the following formula (10): （10） in, Represents the total settlement of tailings below the target sub-dam, m.

5. The tailings dam settlement dynamic early warning method according to claim 4 is characterized in that: The step S4 determines the relationship function between the settlement of the target sub-dam and the tailings below the target sub-dam and time according to the total settlement of the target sub-dam, the total settlement of the tailings below the target sub-dam, the vertical consolidation coefficient of the tailings, and the vertical consolidation coefficient of the accumulation sub-dam, including: S41. According to the total settlement of the target sub-dam and the vertical consolidation coefficient of the accumulation sub-dam, the following formula (11) is used to express the relationship between the settlement of the target sub-dam and time: （11） in, Indicates that the target sub-dam is The amount of settlement at the time, m, Indicates time, year; S42. Based on the total settlement of tailings below the target sub-dam and the vertical consolidation coefficient of tailings, the following formula (12) is used to express the relationship between the settlement of the target sub-dam and the tailings below and time: （12） in, Indicates that the tailings of the target sub-dam and its lower part are Amount of settlement at the time, m.

6. The tailings dam settlement dynamic early warning method according to claim 5 is characterized in that: The step S5 determines the settlement rate warning value of the target sub-dam in each time period according to the relationship function between the settlement amount of the target sub-dam and the tailings below the target sub-dam and time, including: The target sub-dam accumulation completion time is taken as the initial time, that is, , in years, the settlement of the target sub-dam in the nth year is calculated as , The unit is m / year; The target sub-dam accumulation completion time is taken as the initial time, that is, , in units of years, the settlement of tailings below the target sub-dam in the nth year is calculated as , The unit is m / year; Calculate the annual absolute settlement of the target sub-dam, that is, the sum of the annual settlement of the target sub-dam and the annual settlement below the target sub-dam, that is, , The unit is m / year; Will The unit is converted into mm / month, which is the normal value of the target sub-dam settlement. , then the blue warning value of the target sub-dam in the nth year is set to , the yellow warning value is set to , the orange warning value is set to , the red warning value is set to .

7. A tailings dam settlement dynamic early warning device, the tailings dam settlement dynamic early warning device is used to implement the tailings dam settlement dynamic early warning method according to any one of claims 1 to 6, characterized in that: The device comprises: A fitting module, used to determine the first model parameter and the second model parameter by fitting the EP curve of the tailings, and determine the vertical consolidation coefficient of the tailings and the vertical consolidation coefficient of the accumulation sub-dam; The first calculation module is used to calculate the bearing pressure of the target sub-dam and the bearing pressure of the tailings below the target sub-dam, and respectively calculate the porosity of the target sub-dam after bearing pressure and the porosity of the tailings below the target sub-dam after bearing pressure according to the bearing pressure of the target sub-dam, the bearing pressure of the tailings below the target sub-dam, the first model parameter and the second model parameter; The second calculation module is used to calculate the total settlement of the target sub-dam according to the porosity of the target sub-dam after being pressurized, and calculate the total settlement of the tailings below the target sub-dam according to the porosity of the tailings below the target sub-dam after being pressurized; The first determination module is used to determine the relationship function between the settlement of the target sub-dam and the tailings below the target sub-dam and time according to the total settlement of the target sub-dam, the total settlement of the tailings below the target sub-dam, the vertical consolidation coefficient of the tailings, and the vertical consolidation coefficient of the accumulation sub-dam; The second determination module is used to determine the settlement rate warning value of the target sub-dam in each time period according to the relationship function between the settlement amount of the target sub-dam and the tailings below and time; The early warning module is used to obtain the actual settlement of the target sub-dam in a certain period of time, and issue an early warning of the corresponding level according to the actual settlement and settlement rate warning value.

8. The tailings dam settlement dynamic early warning device according to claim 7, characterized in that: The fitting module is used for: S11. Through laboratory compression tests, the void ratio of tailings under different pressures p is determined. , for the measured The relationship is fitted to obtain the first model parameter A and the second model parameter B. The following formula (1) is used to express the tailings curve: （1） in, represents the compression porosity; represents the initial porosity of the tailings, measured experimentally; represents the bearing pressure; A represents the first model parameter, and B represents the second model parameter; S12, the following formula (2) is used to express the accumulation sub-dam curve: （2） in, It represents the initial porosity of the sub-dam after rolling, which is measured by experiment; S13. Determination of initial porosity of tailings by laboratory consolidation test Permeability coefficient under the state and compression factor , the vertical consolidation coefficient of tailings is calculated by the following formula (3): （3） in, Indicates the initial porosity of tailings The consolidation coefficient under the state, m 2 / Year; Indicates the initial porosity of tailings Permeability coefficient under the state, m / year; Indicates the compressibility factor, kPa-1; The specific gravity of water, =1000kg / m 3 ; S14. Determination of initial porosity of the sub-dam by laboratory consolidation test Permeability coefficient under the state Since the tailings and the sub-dam have the same soil quality, the compression coefficient The vertical consolidation coefficient of the sub-dam is approximately the same as that of the sub-dam. The vertical consolidation coefficient of the sub-dam is expressed by the following formula (4): （4） in, The initial porosity of the accumulation sub-dam is Vertical consolidation coefficient under the state, m 2 / Year; The initial porosity of the accumulation sub-dam is Permeability coefficient under the state, m / year.

9. A tailings dam settlement dynamic early warning device, characterized in that: The tailings dam settlement dynamic early warning device comprises: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, which can be called by a processor to execute the method according to any one of claims 1 to 7.

Images