阅读说明：本技术 一种尾矿充填体监测方法 (Tailing filling body monitoring method ) 是由 从金瑶 涂博 彭佳志 祁庆龙 纪宪坤 于 2021-09-30 设计创作，主要内容包括：本发明公开一种尾矿充填体监测方法,涉及尾矿充填技术领域,包括尾矿充填体强度监测系统,所述尾矿充填体强度监测系统包括温度感应器与中控单元,上述方法通过试块养护实验测得不同养护温度下块强度随养护时间变化的数据,将此数据等效成尾矿填充体的不同养护温度下块强度随养护时间的变化数据,将该数据输入至中控单元中,由中控单元构建强度与养护时间关系的数据模型,再利用温度感应器采集充填体内部的温度,并将采集到的数据输入中控单元中,通过中控单元将采集到的温度数据进行数据处理后与采集温度的时间带入数据模型中计算出充填体的强度。通过该方法可以准确计算出尾矿充填体的强度,从而达到监测尾矿充填体的效果。(The invention discloses a tailing filling body monitoring method, which relates to the technical field of tailing filling and comprises a tailing filling body strength monitoring system, wherein the tailing filling body strength monitoring system comprises a temperature sensor and a central control unit, the method measures data of block strength changing along with maintenance time at different maintenance temperatures through a test block maintenance experiment, the data are equivalent to the data of the change of the block strength of a tailing filling body along with the maintenance time at different maintenance temperatures, the data are input into the central control unit, a data model of the relation between the strength and the maintenance time is constructed by the central control unit, the temperature inside the filling body is collected by the temperature sensor and input into the central control unit, and the collected data are input into the central control unit, and the collected temperature data are subjected to data processing through the central control unit and then are brought into the data model with the time of the collected temperature to calculate the strength of the filling body. The strength of the tailing filling body can be accurately calculated through the method, so that the effect of monitoring the tailing filling body is achieved.)

1. The tailing filling body monitoring method is characterized by comprising a tailing filling body strength monitoring system, wherein the tailing filling body strength monitoring system comprises a temperature sensor and a central control unit, the temperature sensor is used for collecting the temperature inside a tailing filling body and transmitting the collected temperature data to the central control unit, and the central control unit is used for constructing a data model and analyzing the strength of the tailing filling body;

the tailing filling body monitoring method comprises the following steps:

step one, determining the filling concentration and the sand-lime ratio of a tailing filling body according to a site construction process;

step two, manufacturing a test block by using the filling concentration and the sand-lime ratio of the filling body, carrying out a maintenance experiment in a laboratory, measuring the data of the strength of the test block changing along with the maintenance time at different maintenance temperatures, and inputting the obtained data into the central control unit;

thirdly, constructing a data model of the relation between the strength of the test block and the curing time at different curing temperatures by using the data obtained in the second step through the central control unit;

fourthly, in the tailing filling and pouring construction process, the temperature sensor is placed in a filling vacant house in advance, the temperature sensor embedded in the tailing filling body collects the temperature inside the tailing filling body according to a fixed time interval, and collected temperature data are input into a central control unit;

and step five, carrying out data processing on the temperature data acquired in the step four through the central control unit, and substituting the processed temperature data and the time for acquiring the temperature into the data model in the step three to calculate the strength of the tailing filling body.

2. The tailings filler monitoring method of claim 1, wherein in the first step, the tailings filler has a filling concentration of 50% -78%, a sand-lime ratio of 1 (8-16), a curing temperature of 20-40 ℃ and a curing time of 0-60 d.

3. The tailing filler monitoring method according to claim 2, wherein in the second step, the curing temperature of the curing experiment is set to 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃, and in the fifth step, the data processing mode is as follows: the temperature data collected by the temperature sensor is recorded as 20 ℃ at 17.5-22.4 ℃, 25 ℃ at 22.5-27.4 ℃, 30 ℃ at 27.5-32.4 ℃, 35 ℃ at 32.5-37.4 ℃ and 40 ℃ at 37.5-42.4 ℃.

4. The tailings packing body monitoring method of claim 3 wherein in step three, the data model is a B-spline function model.

5. The tailing filling body monitoring method according to claim 4, wherein in the fifth step, the central control unit adopts an intensity calculation formulaCalculating the strength of the tailings fill, wherein f_xThe strength value of the tailings filler at the x-th temperature acquisition is shown, Cm is the filling concentration of the tailings filler, i is the sand-lime ratio of the tailings filler, and T is_xTemperature data after processing at the xth temperature acquisition of tailing filling body, f_x-1The strength of the tailing filling body at the x-1 temperature collection time is shown, wherein f₀＝0Mpa，t_xAs tailingsCuring time of the pack, Δ f, at the xth temperature acquisition of the pack_x(Cm,i,T_x,f_x-1,t_x) The initial strength of the tailing filling body is f_x-1Temperature of T_xTimely curing t_xThe strength of the tailing filling body is increased after the time is long.

6. A tailings filler monitoring method according to any one of claims 1 to 5, wherein in the fourth step, timing is started with the filling completion time point as a start time, and filler temperature data is collected at the same time.

7. A tailings packing monitoring method according to claim 6, wherein in the fourth step, the time interval for collecting the temperature of the tailings packing is 12 hours.

8. The tailings packing body monitoring method of claim 1, wherein the temperature sensor is connected with the central control unit through a sensing wire.

9. The tailings packing body monitoring method according to claim 1, wherein a function drawing software origin for constructing a data model and analyzing and calculating data is installed in the central control unit.

Technical Field

The invention relates to the technical field of tailing filling, in particular to a tailing filling body monitoring method.

Background

Under the increasingly severe requirements of environmental protection policies, the filling mining method has been developed as the main method for mining, and the safety and stability of the filling body are also receiving more attention. At present, the monitoring means of the mine to the tailing filling body is deficient, and the main monitoring means is to adopt a drilling coring process after the filling body reaches the proper age to detect the physical properties of the cored test block in the aspects of strength and the like. This method has a number of problems: firstly, the performance of the filling body at the core age can only be detected, and the performance of the filling body during the forming period and at the later period is lack of specific monitoring; secondly, the period is long, the performance of the filling body in the 28d age is usually detected, if the performance of the filling body is unqualified, the filling body cannot be fed back in time, and the continuous filling in the age can still have problems; thirdly, the construction of the drilling coring process is dangerous; fourthly, the coring points are few, and the representativeness is insufficient; fifthly, coring will also cause certain damage to the overall safety state of the filling body.

At present, the construction of concrete engineering in China develops fiercely, and the technique is skillful, and the real-time monitoring technique of its construction back concrete is used extensively, can accurate control concrete construction speed and the accurate safe state of holding its operation phase. In the prior art, for example, an invention patent with application number CN201210593943.0 discloses a systematic detection method for concrete crack resistance, and particularly relates to a systematic detection method for comprehensively evaluating concrete crack resistance by detecting crack resistance safety coefficient, shrinkage strain, strength and elastic modulus development curve, stress concentration point and constraint degree. The detection method comprises the steps of detecting the temperature stress parameter of the concrete and judging the crack resistance safety coefficient of the concrete; detecting the shrinkage strain value of the concrete and judging the shrinkage strain amount of the concrete; detecting the maturity of the concrete and establishing a strength and elastic modulus development curve; simulating and calculating a stress concentration point of the concrete by the central processing unit; detecting the friction coefficient of the concrete solid model and judging the concrete constraint degree; and comprehensively judging the crack resistance of the concrete according to the steps.

However, the physicochemical properties and construction conditions of the concrete are greatly different from those of tailing filling, generally speaking, the concrete can be quickly condensed within hours after construction is completed, and the strength is increased to dozens or even hundreds of megapascals within days; the tailing filling is limited by process conditions, the final setting needs dozens of hours, the strength slowly rises to several MPa within dozens of days, and therefore the concrete monitoring technology cannot be applied to tailing filling.

Disclosure of Invention

The invention discloses a tailing filling body monitoring method, which aims at solving the problem of shortage of a tailing filling body monitoring method. Specifically, the following technique is used.

The tailing filling body strength monitoring system comprises a temperature sensor and a central control unit, wherein the temperature sensor is used for collecting the temperature inside a tailing filling body and transmitting the collected temperature data to the central control unit, and the central control unit is used for constructing a data model and analyzing the strength of the tailing filling body;

the tailing filling body monitoring method comprises the following steps:

step one, determining the filling concentration and the sand-lime ratio of a tailing filling body according to a site construction process;

step two, manufacturing a test block by using the filling concentration and the sand-lime ratio of the filling body, carrying out a maintenance experiment in a laboratory, measuring the data of the strength of the test block changing along with the maintenance time at different maintenance temperatures, and inputting the obtained data into the central control unit;

thirdly, constructing a data model of the relation between the strength of the test block and the curing time at different curing temperatures by using the data obtained in the second step through the central control unit;

fourthly, in the tailing filling and pouring construction process, the temperature sensor is placed in a filling vacant house in advance, the temperature sensor embedded in the tailing filling body collects the temperature inside the tailing filling body according to a fixed time interval, and collected temperature data are input into a central control unit;

and step five, carrying out data processing on the temperature data acquired in the step four through the central control unit, and substituting the processed temperature data and the time for acquiring the temperature into the data model in the step three to calculate the strength of the tailing filling body.

The tailing filler monitoring method provided by the invention comprises the steps of determining the concentration of a filler and the ratio of lime to sand through a site construction process, wherein the concentration of the filler is the mass percentage of materials in the filler, manufacturing test blocks by utilizing the concentration of the filler and the ratio of the lime to sand, carrying out a laboratory maintenance experiment, measuring the data of the change of the block strength along with the maintenance time at different maintenance temperatures, equating the data to the change of the block strength along with the maintenance time at different maintenance temperatures of the tailing filler, inputting the data into a central control unit, the central control unit constructs a data model of the relationship between the strength and the maintenance time, and then the temperature sensor is placed in the filling vacant house in advance, the temperature sensor embedded in the filling body can collect temperature data in real time and input the collected data into the central control unit, and carrying out data processing on the acquired temperature data through a central control unit, and then substituting the acquired temperature data and the acquired temperature time into a data model to calculate the strength of the filling body.

Preferably, in the step one, the filling concentration of the tailing filling body is 50% -78%, the ash-sand ratio is 1 (8-16), the curing temperature is 20-40 ℃, and the curing time is 0-60 d.

Preferably, in the second step, the curing temperature of the curing experiment is set to 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃, and in the fifth step, the data processing mode is as follows: the temperature data collected by the temperature sensor is recorded as 20 ℃ at 17.5-22.4 ℃, 25 ℃ at 22.5-27.4 ℃, 30 ℃ at 27.5-32.4 ℃, 35 ℃ at 32.5-37.4 ℃ and 40 ℃ at 37.5-42.4 ℃.

The maintenance temperature of the tailing filling body in the field is generally in the range of 20-40 ℃, and the temperature change of the tailing filling body is slow and the fluctuation is small, so the maintenance temperature of the maintenance experiment is set to be 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃, the temperature data acquired by a temperature sensor is recorded as 20 ℃, 22.5-22.4 ℃, 25 ℃, 27.5-32.4 ℃, 30 ℃, 32.5-37.4 ℃, 35 ℃ and 37.5-42.4 ℃ as 40 ℃, and after the temperature acquisition data are processed by the method, the calculation amount of a central control unit can be reduced, and the accuracy of the calculation result is ensured.

More preferably, in step three, the data model is a B-spline model.

According to the method, the data of the laboratory maintenance are constructed into the B-spline function model through the central control unit, the curve model constructed through the measured data can be smoother, the change data of the strength of the tailing filler along with the maintenance time within a time period range can be reflected, meanwhile, the error between the function model and an actual value is small, and the strength value calculated by using the function model is more accurate.

Preferably, in step five, the central control unit adopts an intensity calculation formula f_x＝∑x₁Δf_x(Cm,i,T_x,f_x-1,t_x) Calculating the strength of the tailing filling body, wherein fx is the strength value of the tailing filling body at the x-th temperature acquisition, Cm is the filling concentration of the tailing filling body, i is the sand-ash ratio of the tailing filling body, Tx is the temperature data processed at the x-th temperature acquisition of the tailing filling body, fx-1 is the strength of the tailing filling body at the x-1-th temperature acquisition, wherein f0 is 0MPa, Tx is the curing time length of the filling body at the x-th temperature acquisition of the tailing filling body, and delta fx (Cm, i, Tx, fx-1, Tx) is the strength increasing value of the tailing filling body after the curing time length of the tailing filling body with the filling concentration of Cm and the sand-ash ratio of i is that the initial strength of the tailing filling body is fx-1 and the temperature is Tx.

According to the invention, the temperature data obtained by measuring through the temperature sensor is processed into the temperature point value corresponding to the laboratory test block maintenance temperature according to the temperature range, the strength increase value of the tailing filling body in a specific time period at the temperature is calculated through the B-spline function model of the temperature, the finally measured strength value of the real-time tailing filling body is obtained by accumulating the strength increase values in different temperature acquisition time periods, and the real-time strength of the tailing filling body can be accurately monitored by utilizing the method for accumulating and calculating the strength increase values in different time periods.

Preferably, in the fourth step, the time counting is started by taking the filling completion time point as the starting time, and meanwhile, the filling body temperature data is collected.

Preferably, in the fourth step, the time interval for collecting the temperature of the filling body is 12 hours.

The time limit of acquisition mainly depends on the temperature change amplitude and the condensing time of the filling body, and cannot be too small, for example, less than 1h, the data calculation storage capacity of the equipment can be increased, and the load of the equipment is increased; but not too long, such as greater than 48 hours, because the temperature change is large in magnitude over 48 hours, thereby causing a large deviation in the calculated results.

Preferably, the temperature sensor is connected with the central control unit through a sensing wire.

Preferably, the central control unit is provided with function drawing software origin for constructing data models and analyzing and calculating data.

Compared with the prior art, the invention has the advantages that:

1. according to the invention, the data model is constructed by the central control unit of the central control unit, the temperature inside the tailing filling body is continuously detected by the temperature sensor, the temperature change data is input into the central control unit, and the central control unit processes, analyzes and calculates the collected temperature data according to the data model to obtain the tailing filling strength, so that the effect of monitoring the tailing filling body strength is achieved.

2. According to the invention, the temperature values measured by the temperature sensor are divided into a plurality of temperature ranges, and the temperature values in the temperature ranges are recorded as the middle point values of the ranges respectively, so that the effect of reducing the calculation amount of the central control unit is achieved, and meanwhile, the accuracy of the calculation result of the central control unit is ensured because the temperature change condition in the tailing filling body is very gentle.

Drawings

FIG. 1 is a B-spline function model of the relationship between the strength of the tailings filler and the curing time at 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ in example 1

FIG. 2B-spline function model of the relationship between the strength of the tailings filler and the curing time at 20 deg.C, 25 deg.C, 30 deg.C, 35 deg.C and 40 deg.C in example 2

FIG. 3B-spline function model of the relationship between the strength of the tailing fillers and the curing time at 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ in example 3

Detailed Description

The technical solutions of the present invention will be described clearly and completely below, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The tailing filling body strength monitoring system comprises a temperature sensor and a central control unit, wherein the temperature sensor is connected with the central control unit through a sensing line, the temperature sensor is used for measuring the real-time temperature of a tailing filling body and transmitting monitoring data to the central control unit in real time, the central control unit comprises a central control unit and a central control unit, the central control unit is used for constructing a data model, and the central control unit is used for analyzing the real-time strength of the tailing filling body. In the invention, origin software is installed in the central control unit, and the origin software is utilized to construct a data model and analyze data.

The ambient temperature of the collected packing was measured at the time point when the filling of the packing was completed, and collected every 12 hours. In this embodiment, 12 hours is used as the time interval to facilitate monitoring of the continuous change in the strength of the pack.

Example 1

The embodiment provides a method for monitoring a mine filling body of a tail, which comprises the following steps:

step one, determining that the filling concentration of a tailing filling body is 68% and the ratio of sand to ash is 1 according to an on-site construction process: 10;

step two, preparing a test block by using the concentration of the filler and the sand-lime ratio, carrying out a maintenance experiment in a laboratory, respectively measuring data of the strength changing along with the maintenance time when the test block is maintained at constant temperature in a maintenance box at 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃, and inputting the obtained data into a central control unit;

thirdly, constructing a B-spline function model of the strength and the curing time of the filling body at 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ respectively from the data obtained in the second step through a central control unit;

step four, in the tailing filling and pouring construction process, placing a temperature sensor in a filling vacant house in advance, collecting the temperature of the tailing filling body once every 12 hours by the temperature sensor embedded in the filling body, and inputting the collected temperature data into a central control unit;

step five, processing the temperature data acquired in the step four through a central control unit, wherein the processing method comprises the following steps: recording the temperature of 17.5-22.4 ℃ as 20 ℃, recording the temperature of 22.5-27.4 ℃ as 25 ℃, recording the temperature of 27.5-32.4 ℃ as 30 ℃, recording the temperature of 32.5-37.4 ℃ as 35 ℃ and recording the temperature of 37.5-42.4 ℃ as 40 ℃, and substituting the processed data and the time data of temperature data acquisition into the data model in the third step to calculate the strength of the filling body.

The test blocks are respectively placed in curing boxes with the temperature of 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ for constant-temperature curing, the strength value of the filling body at each age is tested and recorded, and the strength results of the test blocks at 3d, 7d, 14d, 28d and 60d are shown in the following table 1.

TABLE 1 EXAMPLE 1 Strength Change data of tailings packings at 20 deg.C, 25 deg.C, 30 deg.C, 35 deg.C and 40 deg.C

The data in the above table are used by the central control unit to construct a B-spline function model of the strength and curing time of the filling body at 20 deg.C, 25 deg.C, 30 deg.C, 35 deg.C and 40 deg.C, as shown in FIG. 1 below.

The partial temperature data collected in step four of this example are shown in table 2 below.

Table 2 table for temperature collection of tailing fill in example 1

Collection serial number	Duration of filling/d	Collection temperature/. degree.C
			1	0	24.2
2	0.5	24.6
			3	1	25.2
4	1.5	25.7
			5	2	25.4
6	2.5	26.0
			7	3	26.8
8	3.5	27.7
			9	4	27.2
10	4.5	27.6
			11	5	28.0
12	5.5	28.4
			13	6	28.8
14	6.5	27.7
			15	7	27.9

The strength calculation process of the tailing filling body is as follows:

7d strength:

i.e., f₁＝△f₁(68％,1:10,25℃,f₀,12h)＝0.21MPa

f₂＝△f₁+△f₂＝f₁+△f₂(68％,1:10,25℃,f₁,12h)＝0.42MPa

f₃＝△f₁+△f₂+△f₃＝f₂+△f₃(68％,1:10,25℃,f₂,12h)＝0.62MPa

f₄＝f₃+△f₄(68％,1:10,25℃,f₃,12h)＝0.80MPa

f₅＝f₄+△f₅(68％,1:10,25℃,f₄,12h)＝0.98MPa

f₆＝f₅+△f₆(68％,1:10,25℃,f₅,12h)＝1.15MPa

f₇＝f₆+△f₇(68％,1:10,30℃,f₆,12h)＝1.37MPa

f₈＝f₇+△f₈(68％,1:10,25℃,f₇,12h)＝1.50MPa

f₉＝f₈+△f₉(68％,1:10,30℃,f₈,12h)＝1.67MPa

f₁₀＝f₉+△f₁₀(68％,1:10,30℃,f₉,12h)＝1.80MPa

f₁₁＝f₁₀+△f₁₁(68％,1:10,30℃,f₁₀,12h)＝1.92MPa

f₁₂＝f₁₁+△f₁₂(68％,1:10,30℃,f₁₁,12h)＝2.02MPa

f₁₃＝f₁₂+△f₁₃(68％,1:10,30℃,f₁₂,12h)＝2.11MPa

f₁₄＝f₁₃+△f₁₄(68％,1:10,30℃,f₁₃,12h)＝2.20MPa

The coring compressive strength is 2.09MPa, the strength calculation result is 2.20MPa, the difference is 0.11, and the range is +/-0.2.

Example 2

The method provided in this example differs from example 1 in that the packing concentration is 50% and the ratio of ash to sand is 1: 8. After the strength change data of the tailings fillers in the laboratory at the temperature of 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ are processed by the central control unit, a B-spline function model of the strength and the curing time of the fillers at the temperature of 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ in the test block in the embodiment is obtained, as shown in FIG. 2.

The partial temperature data collected in step four of this example are shown in table 3 below.

Table 3 table for temperature collection of tailing fill in example 2

f₁＝△f₁(50％,1:8,25℃,f₀,12h)＝0.09MPa

f₂＝△f₁+△f₂＝f₁+△f₂(50％,1:8,25℃,f₁,12h)＝0.18MPa

f₃＝△f₁+△f₂+△f₃＝f₂+△f₃(50％,1:8,25℃,f₂,12h)＝0.27MPa

f₄＝f₃+△f₄(50％,1:8,25℃,f₃,12h)＝0.35MPa

f₅＝f₄+△f₅(50％,1:8,25℃,f₄,12h)＝0.42MPa

f₆＝f₅+△f₆(50％,1:8,25℃,f₅,12h)＝0.48MPa

f₇＝f₆+△f₇(50％,1:8,25℃,f₆,12h)＝0.55MPa

f₈＝f₇+△f₈(50％,1:8,30℃,f₇,12h)＝0.63MPa

f₉＝f₈+△f₉(50％,1:8,30℃,f₈,12h)＝0.71MPa

f₁₀＝f₉+△f₁₀(50％,1:8,30℃,f₉,12h)＝0.77MPa

f₁₁＝f₁₀+△f₁₁(50％,1:8,30℃,f₁₀,12h)＝0.82MPa

f₁₂＝f₁₁+△f₁₂(50％,1:8,30℃,f₁₁,12h)＝0.87MPa

f₁₃＝f₁₂+△f₁₃(50％,1:8,30℃,f₁₂,12h)＝0.91MPa

f₁₄＝f₁₃+△f₁₄(50％,1:8,30℃,f₁₃,12h)＝0.95MPa

The coring compressive strength is 0.90MPa, the strength calculation result is 0.95MPa, and the difference is 0.05 within a reasonable range of +/-0.2.

Example 3

The difference between the method provided by the embodiment and the method provided by the embodiment 1 is that the filling concentration is 78%, the ash-sand ratio is 1:16, and the time interval for collecting the internal temperature of the tailing filling body is 48 hours. After the strength change data of the tailings fillers in the laboratory at the temperature of 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ are processed by the central control unit, a B-spline function model of the strength and the curing time of the fillers at the temperature of 20 ℃, 25 ℃, 30 ℃, 35 ℃ and 40 ℃ in the test block in the embodiment is obtained, as shown in FIG. 3.

The temperature data collected in step four of this example are shown in table 3 below.

Table 4 table for temperature collection of tailing fill in example 3

f₁＝△f₁(78％,1:16,25℃,f₀,48h)＝0.37MPa

f₂＝△f₁+△f₂＝f₁+△f₂(78％,1:16,25℃,f₁,48h)＝0.86MPa

f₃＝△f₁+△f₂+△f₃＝f₂+△f₃(78％,1:16,25℃,f₂,48h)＝1.18MPa

f₄＝f₃+△f₄(78％,1:16,30℃,f₃,48h)＝1.43MPa

f₅＝f₄+△f₅(78％,1:16,30℃,f₄,48h)＝1.59MPa

f₆＝f₅+△f₆(78％,1:16,30℃,f₅,48h)＝1.72MPa

f₇＝f₆+△f₇(78％,1:16,30℃,f₆,48h)＝1.83MPa

f₈＝f₇+△f₈(78％,1:16,30℃,f₇,48h)＝1.91MPa

f₉＝f₈+△f₉(78％,1:16,30℃,f₈,48h)＝1.98MPa

f₁₀＝f₉+△f₁₀(78％,1:16,30℃,f₉,48h)＝2.04MPa

f₁₁＝f₁₀+△f₁₁(78％,1:16,30℃,f₁₀,48h)＝2.09MPa

f₁₂＝f₁₁+△f₁₂(78％,1:16,30℃,f₁₁,48h)＝2.13MPa

f₁₃＝f₁₂+△f₁₃(78％,1:16,30℃,f₁₂,48h)＝2.16MPa

f₁₄＝f₁₃+△f₁₄(78％,1:16,30℃,f₁₃,48h)＝2.19MPa

f₁₅＝f₁₄+△f₁₅(78％,1:16,30℃,f₁₄,48h)＝2.22MPa

f₁₆＝f₁₅+△f₁₆(78％,1:16,30℃,f₁₅,48h)＝2.25MPa

f₁₇＝f₁₆+△f₁₇(78％,1:16,30℃,f₁₆,48h)＝2.27MPa

f₁₈＝f₁₇+△f₁₈(78％,1:16,30℃,f₁₇,48h)＝2.29MPa

f₁₉＝f₁₈+△f₁₉(78％,1:16,30℃,f₁₈,48h)＝2.31MPa

f₂₀＝f₁₉+△f₂₀(78％,1:16,30℃,f₁₉,48h)＝2.33MPa

f₂₁＝f₂₀+△f₂₁(78％,1:16,30℃,f₂₀,48h)＝2.35MPa

f₂₂＝f₂₁+△f₂₂(78％,1:16,30℃,f₂₁,48h)＝2.37MPa

f₂₃＝f₂₂+△f₂₃(78％,1:16,30℃,f₂₂,48h)＝2.39MPa

f₂₄＝f₂₃+△f₂₄(78％,1:16,35℃,f₂₃,48h)＝2.39MPa

f₂₅＝f₂₄+△f₂₅(78％,1:16,35℃,f₂₄,48h)＝2.39MPa

f₂₆＝f₂₅+△f₂₆(78％,1:16,35℃,f₂₅,48h)＝2.39MPa

f₂₇＝f₂₆+△f₂₇(78％,1:16,35℃,f₂₆,48h)＝2.39MPa

f₂₈＝f₂₇+△f₂₈(78％,1:16,35℃,f₂₇,48h)＝2.39MPa

f₂₉＝f₂₈+△f₂₉(78％,1:16,35℃,f₂₈,48h)＝2.39MPa

f₃₀＝f₂₉+△f₃₀(78％,1:16,35℃,f₂₉,48h)＝2.39MPa

f₃₁＝f₃₀+△f₃₁(78％,1:16,35℃,f₃₀,48h)＝2.39MPa

In this embodiment, when the temperature data is collected at the 23 rd time, the temperature of the tailing filling body is 30 ℃, and the strength calculation result of the tailing filling body is 2.39 MPa; the temperature data collected at the 23 rd to 31 th times are all 35 ℃, and the strength of the tailing filling body at the 35 ℃ in the graph 3 is not more than 2.3MPa at the highest according to the change curve of the strength of the tailing filling body along with the curing time, so that the strength of the tailing filling body is not increased any more after the 23 th time measurement, and is kept at 2.39 MPa. The coring compression strength is 2.24MPa, the strength calculation result is 2.39MPa, and the difference is 0.15 within a reasonable range of +/-0.2.

The embodiment 1-3 shows that the strength of coring compression resistance detection and the strength difference of the tailing filling body analyzed and calculated by the tailing filling body strength detection method are +/-0.2, the tailing filling body strength detection method provided by the invention can accurately measure the strength of the tailing filling body after long-time maintenance, and the calculation amount is small, so that the analysis result can be quickly obtained, the strength of the tailing filling body can be monitored in real time, the working efficiency can be improved, the engineering time can be shortened, meanwhile, the underground coring operation can be avoided, and the safety of a mine can be improved.