A method for determining the backfill station tailings recovery rate

Abstract

The application discloses a kind of determination methods of filling station tailings recovery rate, belong to mineral processing tailings recovery field.The present application includes the following steps: obtaining tailings density, determining filling station sand inlet end flow, filling station sand inlet end concentration and total overflow end flow and concentration;According to the following formula, the filling station tailings recovery rate is calculated wherein 砂 ρ is the tailings density;Q is the filling station sand mortar flow;a is the filling station sand mortar concentration;Q1 is the filling station total overflow mortar flow;a1 is the filling station total overflow mortar concentration.The present application can provide theoretical basis for daily monitoring or intelligent monitoring of filling station tailings recovery rate.

Description

Technical Field

[0001] This invention relates to the field of tailings recovery technology, specifically to a method for determining the tailings recovery rate of a backfilling station. Background Technology

[0002] Currently, the tailings mining method has made significant progress under the impetus of national development. Relevant national departments have clarified that, starting in 2020, under the premise of ensuring the normal construction and development of mines dealing with scarce and strategic minerals, the number of tailings dams nationwide will, in principle, only decrease and not increase. With the tightening of tailings dam policies, tailings backfilling will inevitably become the main way for mines to dispose of tailings, and the utilization rate of tailings backfilling will be an important indicator for measuring the efficiency of backfilling stations.

[0003] A mine backfilling station processes tailings from mineral processing by sedimentation and concentration into a slurry. This slurry is then mixed with coagulant materials in a specific ratio to form backfill slurry, which is then transported to the mining area via pipeline for backfilling. The tailings recovery rate at backfilling stations is primarily reflected in the tailings sedimentation and recovery process. Previously, the tailings recovery rate was only calculated at the end of the month or year by measuring and statistically analyzing the volume of the filled voids, determining the comprehensive unit consumption corresponding to the comprehensive backfill mix ratio over a period of time, and then calculating the tailings recovery rate by dividing the backfill tailings volume by the mineral processing tailings output. This method can only assess tailings utilization over a longer period and is not very useful for daily monitoring and control of tailings recovery rates. Summary of the Invention

[0004] The purpose of this invention is to solve the above-mentioned problems existing in the prior art and to provide a method for determining the tailings recovery rate of backfilling stations. This invention can provide a theoretical basis for daily monitoring and even intelligent monitoring of tailings recovery rate in backfilling stations.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] I. Vertical Sand Silo Settling Model

[0007] Operating Condition 1: Sand is fed into the sand bin without filling it.

[0008] Given the density ρ of tailings 砂 Given the concentration of the incoming sand mortar a and the concentration of the overflow mortar a1, calculate the tailings recovery rate η of the sand bin.

[0009] Let Q be the flow rate of sand mortar entering the sand silo per unit time, with corresponding mass M and density ρ; Q1 be the flow rate of sand mortar overflowing from the sand silo, with corresponding mass M1 and density ρ1; and Q2 be the mass of sand mortar settling in the sand silo per unit time, with corresponding mass M2, concentration a2, and density ρ2.

[0010] The tailings recovery rate of the sand bin is:

[0011]

[0012] Since the sand bin is in an overflow and settling condition without filling, the volume of mortar inside the sand bin remains constant. Therefore, the inflow rate of mortar is equal to the overflow rate of mortar. That is, the sand bin belongs to a mathematical model where the inflow and outflow rates are equal. Thus, we have:

[0013] Q = Q1 (1-2)

[0014] The mortar flow rate is equal to the sand flow rate plus the water flow rate, that is:

[0015]

[0016] Similarly, the overflow mortar volume equals the sand volume plus the water volume, that is:

[0017]

[0018] From equations (1-2), (1-3), and (1-4), we can obtain:

[0019]

[0020] Substituting equation (1-5) into equation (1-1), we get:

[0021]

[0022] If Q = Q1, then:

[0023]

[0024] That is: the mass ratio of the mortar entering the silo to the overflow mortar is equal to the flow rate ratio multiplied by the density ratio. Under the condition that the volume of the mortar entering the silo equals the volume of the overflow mortar, the mass ratio of the mortar entering the silo to the overflow mortar is the density ratio. Let this density ratio be a coefficient K1.

[0025]

[0026] Substituting equation (1-8) into equation (1-1), we get:

[0027]

[0028] Operating Condition 2: Sand is being filled into the sand bin while sand is being fed in simultaneously.

[0029] Given the density ρ of tailings 砂 Given the sand mortar flow rate Q and sand mortar concentration a in the sand silo per unit time; and the overflow sand mortar flow rate Q1 and overflow sand mortar concentration a1 in the sand silo per unit time, calculate the sand settling efficiency η of the sand silo.

[0030] Let M be the mass of sand mortar entering the sand bin per unit time, M1 be the mass of overflow mortar, M2 be the mass of settling mortar, a2 be the concentration of the flow rate, and M3 be the flow rate of the underflow mortar, with a3 being the concentration of the flow rate.

[0031] When the sand bin is being filled while sand is settling, the sand balance indicates that:

[0032] Ma=M1a1+M2a2+M3a3, that is: M2a2+M3a3=Ma-M1a1 (2-1)

[0033] The tailings recovery rate of the sand bin is:

[0034]

[0035] From the formula: Mortar flow rate = Sand flow rate + Water flow rate, we get:

[0036]

[0037] From the equation: Overflow mortar flow rate = Sand flow rate + Water flow rate, we get:

[0038]

[0039] Therefore

[0040]

[0041] set up Then:

[0042]

[0043] When not filled, Q1 = Q, then:

[0044] When working condition 2 is not filled, equations 2-8 and 1-9 of working condition 1 are the same, that is, working condition 1 is a special case of working condition 2 when it is not filled.

[0045] II. Hydrocyclone grading + vertical sand bin settling model

[0046] Operating Condition 3: Sand is fed into the sand bin without filling it.

[0047] Given the density ρ of tailings 砂 Given the following: 1. The slurry concentration at the hydrocyclone inlet is a, and the overflow slurry concentration is a1; 2. The slurry concentration at the sand bin inlet (equivalent to the hydrocyclone underflow concentration) is a2, and the overflow slurry concentration is a3; calculate the tailings recovery rate η of the backfilling station.

[0048] Let Q be the flow rate of slurry entering the hydrocyclone per unit time, corresponding to mass M and density ρ; Q1 be the flow rate of slurry overflowing the hydrocyclone, corresponding to mass M1 and density ρ1; and Q2 be the flow rate of slurry underflow from the hydrocyclone, corresponding to mass M2 and concentration a2. The model for operating condition 3 is as follows: Figure 1 As shown.

[0049] The total recovery rate of tailings at the backfilling station = hydrocyclone recovery rate × sand bin recovery rate, i.e., the total recovery rate is:

[0050] η = η 旋 ×η 仓 (3-1)

[0051] Assuming the mass of mortar entering the hydrocyclone per unit time is M = 1, and the hydrocyclone is a tailings coarse and fine classification device that does not store material, then the hydrocyclone belongs to the mathematical model where the inlet and outlet masses and volumes are equal. The working condition model is as follows: Figure 3 As shown. Then:

[0052] 1 = M1 + M2 (3-2)

[0053] Since the mass of sand entering and exiting is equal, we can conclude that:

[0054] 1·a=M1a1+M2a2 (3-3)

[0055] Substituting equation (3-2) into the above equation, we get:

[0056]

[0057] The tailings recovery rate of the hydrocyclone is:

[0058]

[0059] Similarly, the tailings recovery rate of the sand bin can be derived from working condition 1, and we can obtain:

[0060]

[0061] set up but:

[0062]

[0063] The total recovery rate of tailings can be obtained as follows:

[0064]

[0065] Operating Condition 4: Sand is being filled into the sand bin while sand is being fed in simultaneously.

[0066] Given the flow rate Q of the slurry entering the hydrocyclone, the concentration a of the slurry entering the hydrocyclone, the mass Q1 of the slurry overflowing from the hydrocyclone, the concentration a1 of the slurry overflowing from the hydrocyclone, the flow rate Q3 of the slurry overflowing from the sand bin, and the concentration a3 of the slurry overflowing from the sand bin, calculate the sand settling efficiency η of the sand bin.

[0067] Let M be the mass of sand slurry entering the hydrocyclone per unit time, and ρ be the density; M2 be the mass of sand slurry entering the sand bin per unit time, and ρ2 be the density; Q4 be the flow rate of the sand slurry in the sand bin per unit time, corresponding to mass M4, density ρ4, and concentration a4; and Q5 be the flow rate of the sand slurry underflow in the sand bin per unit time, corresponding to mass M5, density ρ5, and concentration a5.

[0068] Total tailings recovery rate at the backfilling station = hydrocyclone efficiency × sand bin efficiency, i.e.:

[0069] Total recovery rate η = η 旋 ×η 仓 (4-1)

[0070] The hydrocyclone efficiency can be derived similarly from operating condition 3:

[0071]

[0072] During filling, the tailings recovery rate of the sand silo is obtained similarly to that in working condition 2:

[0073]

[0074] Furthermore, for the hydrocyclone model, based on the balance of inlet and outlet flow rates, we have: Q = Q1 + Q2

[0075] Therefore: Q2 = Q - Q1 (4-4)

[0076] Substituting equation 4-4 into equation 4-3, we get:

[0077]

[0078] Substituting equation 4-5 into equation 4-1, we obtain the total recovery rate of the filling station:

[0079]

[0080] set up Then:

[0081]

[0082] When there is no filling, Q = Q1 + Q3. Substituting into equation 4-7, we have:

[0083]

[0084] When there is no filling in condition 4, equation 4-8 is the same as equation 3-8 in condition 3. That is, condition 3 is a special case of condition 4 when there is no filling.

[0085] Based on the derivation and verification of the tailings recovery rate formulas for the four working conditions of the backfilling station mentioned above, it is found that: Working condition 1 is a special case of working condition 2 without backfilling; working condition 3 is a special case of working condition 4 without backfilling; the hydrocyclone + sand bin model of working condition 4 is equivalent to the sand bin settling model of working condition 2. Therefore, the algorithms for determining the tailings recovery rate of the backfilling station under the above four working conditions can be uniformly expressed by the algorithm of working condition 2.

[0086]

[0087] in

[0088] ρ 砂The density of tailings,

[0089] Q represents the flow rate of mortar entering the filling station.

[0090] 'a' represents the concentration of the mortar entering the filling station.

[0091] Q1 Total overflow mortar flow rate at the filling station

[0092] a1 represents the total overflow mortar concentration at the filling station.

[0093] In summary, the method for determining the tailings recovery rate of a backfilling station is as follows: given the specific gravity of the tailings, use a flow meter and a concentration meter to measure the flow rate and concentration at the inlet of the backfilling station and the flow rate and concentration at the total overflow end. The tailings recovery rate of the backfilling station can then be calculated using the above formula 2-7. When the backfilling station is not backfilling, only the concentration at the inlet of the backfilling station and the concentration at the total overflow end are needed.

[0094] The beneficial effects of this invention are:

[0095] This invention provides a method for determining the tailings recovery rate of a backfilling station, providing a theoretical basis for daily and even intelligent monitoring of tailings recovery rates. It enables quantitative daily management of tailings utilization, a crucial indicator for evaluating station efficiency. By adjusting flocculant dosage, hydrocyclone parameters, and rationally scheduling backfilling operations based on tailings utilization monitoring data, the method improves tailings recovery rates, providing sufficient tailings aggregate for backfilling and remediation of underground goaf areas, shortening backfilling cycles, increasing backfilling mining efficiency, and improving mineral resource recovery. Simultaneously, it effectively monitors tailings discharge into tailings ponds, enabling timely measures to reduce tailings overflow, rationally utilizing tailings pond capacity, extending tailings pond service life, and promoting green and sustainable development in mines. Attached Figure Description

[0096] Figure 1 This is a schematic diagram of the model for working condition 1 (sand entering when the sand bin is not filled);

[0097] Figure 2 A schematic diagram of the model for working condition 2 (sand bin side settling and filling);

[0098] Figure 3 This is a schematic diagram of the model for working condition 3 (cyclone + sand bin model, sand is fed in when not filled);

[0099] Figure 4 This is a schematic diagram of the model for working condition 4 (cyclone separator + sand bin model, sand is fed in during filling);

[0100] Figure 5 This is a schematic diagram of the working condition verification comparison model for working condition 3 and working condition 1;

[0101] Figure 6This is a schematic diagram of the working condition verification comparison model for working condition 4 and working condition 2;

[0102] Figure 7 Verification table for tailings recovery rate determination under working conditions 1 and 2;

[0103] Figure 8 Verification table for tailings recovery rate determination under working conditions 3 and 4. Detailed Implementation

[0104] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0105] Example 1:

[0106] Operating Condition 1: Sand is fed into the sand bin without filling (vertical sand bin settling model)

[0107] Given the density ρ of tailings 砂 Given the concentration of the incoming sand mortar a and the concentration of the overflow mortar a1, calculate the tailings recovery rate η of the sand bin.

[0108] Let Q be the flow rate of sand mortar entering the sand silo per unit time, with corresponding mass M and density ρ; Q1 be the flow rate of sand mortar overflowing from the sand silo, with corresponding mass M1 and density ρ1; and Q2 be the mass of sand mortar settling in the sand silo per unit time, with corresponding mass M2, concentration a2, and density ρ2. The model for operating condition 1 is as follows: Figure 1 As shown.

[0109] The tailings recovery rate of the sand bin is:

[0110]

[0111] Since the sand bin is in an overflow and settling condition without filling, the volume of mortar inside the sand bin remains constant. Therefore, the inflow rate of mortar is equal to the overflow rate of mortar. That is, the sand bin belongs to a mathematical model where the inflow and outflow rates are equal. Thus, we have:

[0112] Q = Q1 (1-2)

[0113] The mortar flow rate is equal to the sand flow rate plus the water flow rate, that is:

[0114]

[0115] Similarly, the overflow mortar volume equals the sand volume plus the water volume, that is:

[0116]

[0117] From equations (1-2), (1-3), and (1-4), we can obtain:

[0118]

[0119] Substituting equation (1-5) into equation (1-1), we get:

[0120]

[0121] If Q = Q1, then:

[0122]

[0123] That is: the mass ratio of the mortar entering the silo to the overflow mortar is equal to the flow rate ratio multiplied by the density ratio. Under the condition that the volume of the mortar entering the silo equals the volume of the overflow mortar, the mass ratio of the mortar entering the silo to the overflow mortar is the density ratio. Let this density ratio be a coefficient K1.

[0124]

[0125] Substituting equation (1-8) into equation (1-1), we get:

[0126]

[0127] Example 2:

[0128] Operating Condition 2: Sand bin is being filled and sand is being fed in simultaneously (vertical sand bin settling model)

[0129] Given the density ρ of tailings 砂 Given the sand mortar flow rate Q and sand mortar concentration a in the sand silo per unit time; and the overflow sand mortar flow rate Q1 and overflow sand mortar concentration a1 in the sand silo per unit time, calculate the tailings recovery rate η of the sand silo.

[0130] Let M be the mass of sand mortar entering the sand bin per unit time, M1 be the mass of overflow mortar, M2 be the mass of settling mortar, a2 be the concentration of the underflow mortar, M3 be the flow rate of the underflow mortar, and a3 be the concentration of the underflow mortar. The model for operating condition 2 is as follows: Figure 2 As shown.

[0131] When the sand bin is being filled while sand is settling, the sand balance indicates that:

[0132] Ma=M1a1+M2a2+M3a3, that is: M2a2+M3a3=Ma-M1a1 (2-1)

[0133] The tailings recovery rate of the sand bin is:

[0134]

[0135] From the formula: Mortar flow rate = Sand flow rate + Water flow rate, we get:

[0136]

[0137] From the equation: Overflow mortar flow rate = Sand flow rate + Water flow rate, we get:

[0138]

[0139] Therefore

[0140]

[0141] set up Then:

[0142]

[0143] When not filled, Q1 = Q, then:

[0144] Formula 2-8 for working condition 2 without filling is the same as formula 1-9 for working condition 1, that is: working condition 1 is a special case of working condition 2 without filling.

[0145] Example 3:

[0146] Operating Condition 3: Sand feeding without filling the sand bin (cyclone grading + vertical sand bin settling model)

[0147] Given the density ρ of tailings 砂 Given the following: 1. The slurry concentration at the hydrocyclone inlet is a, and the overflow slurry concentration is a1; 2. The slurry concentration at the sand bin inlet (equivalent to the hydrocyclone underflow concentration) is a2, and the overflow slurry concentration is a3; calculate the tailings recovery rate η of the backfilling station.

[0148] Let Q be the flow rate of slurry entering the hydrocyclone per unit time, corresponding to mass M and density ρ; Q1 be the flow rate of slurry overflowing the hydrocyclone, corresponding to mass M1 and density ρ1; and Q2 be the flow rate of slurry underflow from the hydrocyclone, corresponding to mass M2 and concentration a2. The model for operating condition 3 is as follows: Figure 3 As shown.

[0149] The total recovery rate of tailings at the backfilling station = hydrocyclone recovery rate × sand bin recovery rate, i.e., the total recovery rate is:

[0150] η = η 旋 ×η 仓 (3-1)

[0151] Assuming the mass of mortar entering the hydrocyclone per unit time is M = 1, and the hydrocyclone is a tailings coarse and fine classification device that does not store material, then the hydrocyclone belongs to the mathematical model where the inlet and outlet masses and volumes are equal. The working condition model is as follows: Figure 3 As shown. Then:

[0152] 1 = M1 + M2 (3-2)

[0153] Since the mass of sand entering and exiting is equal, we can conclude that:

[0154] 1·a=M1a1+M2a2 (3-3)

[0155] Substituting equation (3-2) into the above equation, we get:

[0156]

[0157] The tailings recovery rate of the hydrocyclone is:

[0158]

[0159] Similarly, the tailings recovery rate of the sand bin can be derived from working condition 1, and we can obtain:

[0160]

[0161] set up but:

[0162]

[0163] The total recovery rate of tailings can be obtained as follows:

[0164]

[0165] Example 4:

[0166] Operating Condition 4: Sand bin is filled and sand is fed in simultaneously (cyclone separator classification + vertical sand bin settling model)

[0167] Given the flow rate Q of the slurry entering the hydrocyclone and the concentration a of the slurry entering the hydrocyclone; the mass Q1 of the slurry overflowing from the hydrocyclone and the concentration a1 of the overflow slurry; and the flow rate Q3 of the slurry overflowing from the sand bin and the concentration a3 of the overflow slurry, calculate the tailings recovery rate η of the backfilling station.

[0168] Let M be the mass of sand slurry entering the hydrocyclone per unit time, and ρ be its density; let M2 be the mass of sand slurry entering the sand silo per unit time, and Q2 be its flow rate, ρ2 be its density, and a2 be its concentration; let Q4 be the flow rate of the sand slurry in the sand silo per unit time, corresponding to mass M4, density ρ4, and concentration a4; and let Q5 be the flow rate of the sand slurry underflow in the sand silo per unit time, corresponding to mass M5, density ρ5, and concentration a5. The model for operating condition 4 is as follows: Figure 4 As shown.

[0169] Total tailings recovery rate at the backfilling station = hydrocyclone efficiency × sand bin efficiency, i.e.:

[0170] Total recovery rate η = η 旋 ×η 仓 (4-1)

[0171] The hydrocyclone efficiency can be derived similarly from operating condition 3:

[0172]

[0173] During filling, the tailings recovery rate of the sand silo is obtained similarly to that in working condition 2:

[0174]

[0175] Furthermore, for the hydrocyclone model, based on the balance of inlet and outlet flow rates, we have: Q = Q1 + Q2

[0176] Therefore: Q2 = Q - Q1 (4-4)

[0177] Substituting equation 4-4 into equation 4-3, we get:

[0178]

[0179] Substituting equation 4-5 into equation 4-1, we obtain the total recovery rate of the filling station:

[0180]

[0181] set up Then:

[0182]

[0183] When there is no filling, Q = Q1 + Q3. Substituting into equation 4-7, we have:

[0184]

[0185] The formula 5-8 for condition 4 without filling is the same as the formula 3-8 for condition 3, that is: condition 3 is a special case of condition 4 without filling.

[0186] Operating condition verification:

[0187] (I) Theoretical verification of working conditions 1 and 2

[0188] 1. When the overflow concentration a1 is 0, or the sand bin is not full and there is no overflow (equivalent to an overflow concentration a1 of 0), the formula can be directly substituted, and the tailings recovery rate for the two working conditions is:

[0189] Operating Condition 1:

[0190] Operating Condition 2:

[0191] That is, when the overflow concentration a1 is 0, or when the sand bin is not full and there is no overflow, the tailings at the filling station do not run off. The tailings recovery rate is 100% under both working conditions, which is consistent with the actual situation.

[0192] 2. When the influent and overflow concentrations are the same, i.e., a = a1, the tailings recovery rates for the two operating conditions are:

[0193] Operating Condition 1:

[0194] Operating Condition 2:

[0195] That is, when the concentrations of the influent and overflow are the same, the tailings recovery rate of 0 in condition 1 and the tailings recovery rate of 1-Q1 / Q in condition 2 are consistent with the actual situation.

[0196] (II) Actual Measurement Verification of Operating Conditions 1 and 2

[0197] Operating condition 1 involves measuring the tailings density ρ. 砂 The tailings recovery rate η of the sand bin is obtained by calculating the concentrations of the incoming mortar (a) and the overflow mortar (a1). Figure 7 Operating condition 1 data.

[0198] Operating condition 2 involves measuring the tailings density ρ. 砂 Given the sand mortar inlet flow rate Q and inlet mortar concentration a; and the sand mortar overflow flow rate Q1 and overflow mortar concentration a1, calculate the tailings recovery rate η. Figure 7 Operating condition 2 data.

[0199] Figure 7 The tailings recovery rate of the backfilling station was calculated by substituting relevant parameters into the formula through actual measurement. The data obtained is basically consistent with the tailings recovery rate calculated by monthly or annual statistics on the volume of backfilled goaf and the tailings consumption per unit volume of the backfill body. This verifies that:

[0200] When the sand bin is not filled in operating condition 1, the formula for calculating the tailings recovery rate is as follows:

[0201] When filling the sand bin in working condition 2, the formula for calculating the tailings recovery rate is as follows:

[0202] (III) Theoretical and experimental verification of operating conditions 3 and 4

[0203] 1. Theoretical verification

[0204] (1) Verification under working condition 3

[0205] like Figure 5 As shown, when the overflow concentration of the hydrocyclone and the overflow concentration of the sand bin in working condition 3 are mixed, a total mortar overflow is formed. Let the total overflow mortar flow rate Q per unit time be... 总溢 The corresponding mass M 总溢 density ρ 总溢 Concentration a 总溢 Therefore, the model of hydrocyclone + sand bin in working condition 3 can be equivalent to the sand bin sedimentation model in working condition 1, that is:

[0206] Tailings utilization rate for operating condition 3 (Formula 3-8):

[0207]

[0208] Then we have:

[0209]

[0210] (2) Verification under working condition 4

[0211] like Figure 6 As shown, when the overflow concentration of the hydrocyclone and the overflow concentration of the sand bin in working condition 4 are mixed, a total mortar overflow is formed. Let the total overflow mortar flow rate Q per unit time be... 总溢 The corresponding mass is M 总溢 density ρ 总溢 Concentration a 总溢 Therefore, the model of hydrocyclone + sand bin in working condition 4 can be equivalent to the sand bin settling model in working condition 2, that is:

[0212] Tailings utilization rate for operating condition 4 (Formula 4-7):

[0213]

[0214] set up Then we have:

[0215]

[0216] 2. Actual measurement verification

[0217] (1) Actual test verification under working condition 3

[0218] According to equation 5-2:

[0219] By measuring the tailings density ρ 砂 The concentrations of the slurry entering the hydrocyclone are a and the overflow slurry concentration is a1; the concentrations of the slurry entering the sand bin (equivalent to the underflow concentration of the hydrocyclone) are a2 and the overflow slurry concentration is a3; the tailings recovery rate η of the embankment is calculated, such as... Figure 8 Operating condition 3 data.

[0220] By measuring the mortar concentration *a* at the hydrocyclone inlet and the total overflow mortar concentration *a*. 总溢 The tailings recovery rate η of the backfilling station is calculated as follows: Figure 8 The data for operating condition 3 shows that the two results are basically consistent.

[0221] (2) Actual test verification under working condition 4

[0222] According to equation 6-2:

[0223]

[0224] The sand settling efficiency η of the sand silo is obtained by measuring the mortar flow rate Q and mortar concentration a of the hydrocyclone inlet; the mortar overflow flow rate Q1, mortar concentration a1, and underflow concentration a2 of the hydrocyclone; and the mortar overflow flow rate Q3 and mortar concentration a3 of the sand silo. Figure 8 Operating condition 4 data.

[0225] By measuring the tailings density ρ 砂 , , sand mortar inlet flow rate Q, sand mortar concentration a; total overflow mortar flow rate Q at the filling station 总溢 Overflow mortar concentration a 总溢 To obtain the sand settling efficiency η of the sand bin, as follows: Figure 8 The data for operating condition 4 are basically consistent.

[0226] Figure 8 The tailings recovery rate of the backfilling station was calculated by substituting relevant parameters into the formula based on actual measurements, which verified that:

[0227] The formula for calculating the tailings recovery rate in the case of a three-stage flow stage + vertical sand bin model with an unfilled sand bin is as follows:

[0228]

[0229] When filling the sand silo in the flow stage + vertical sand silo model under operating condition 2, the formula for calculating the tailings recovery rate is:

[0230]

[0231] The above description is not intended to limit the present invention in any way. Although the present invention has been disclosed through the above embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for determining the tailings recovery rate at a backfilling station, characterized in that, Includes the following steps: (1) Obtain tailings density, measure the flow rate at the inlet of the backfilling station, the concentration at the inlet of the backfilling station, and the flow rate and concentration at the total overflow end; (2) Calculate the tailings recovery rate of the backfilling station according to the following formula. : ； in ; The density of tailings; The density of water; The flow rate of mortar entering the filling station; The concentration of the mortar entering the filling station; This represents the total overflow mortar flow rate of the filling station; This refers to the total overflow mortar concentration at the filling station.

2. The method for determining the tailings recovery rate of a backfilling station according to claim 1, characterized in that: When measuring the vertical sand silo settling model and the working condition is sand entering the silo without filling, then Tailings recovery rate at backfilling station for: 。 3. The method for determining the tailings recovery rate of a backfilling station according to claim 1, characterized in that: When measuring a vertical sand silo settling model under the condition that the sand silo is being filled and sand is being fed in simultaneously, the tailings recovery rate of the filling station is... for: 。 4. The method for determining the tailings recovery rate of a backfilling station according to claim 1, characterized in that: When the hydrocyclone classification + vertical sand bin settling model is measured and the sand bin is not filled before sand is fed in, the tailings recovery rate of the filling station is: ， ； ； ； The tailings recovery rate of the sand storage bin; The tailings recovery rate of the hydrocyclone; The total recovery rate of tailings; The density of tailings; The density of water; The concentration of mortar entering the sand bin; The concentration of the overflow mortar from the sand bin; The concentration of the mortar entering the hydrocyclone; The concentration of the overflow mortar from the hydrocyclone.

5. The method for determining the tailings recovery rate of a backfilling station according to claim 1, characterized in that: When the hydrocyclone classification + vertical sand bin settling model is tested and the sand bin is being filled and sand is being fed in simultaneously, the tailings recovery rate of the filling station is: ， ； ； ； The tailings recovery rate of the sand storage bin; The tailings recovery rate of the hydrocyclone; The total recovery rate of tailings; The density of tailings; The density of water; The flow rate of the mortar entering the hydrocyclone; This refers to the overflow mortar flow rate from the sand bin. This refers to the overflow mortar flow rate of the hydrocyclone. The concentration of mortar entering the sand bin; The concentration of the overflow mortar from the sand bin; The concentration of the mortar entering the hydrocyclone; The concentration of the overflow mortar from the hydrocyclone.

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