Algorithm for improving ore pulp online grade detection precision

Abstract

The invention discloses an algorithm for improving on-line grade detection precision of ore pulp, which optimizes constant parameters in a concentration calculation formula into variable parameters linearly related to grade, and provides an experimental calibration method of related parameters, and the optimized concentration calculation formula can improve the detection precision of the ore pulp concentration. And the ore pulp grade is calculated by adopting the optimized and calculated concentration, so that the ore pulp grade detection precision can be improved.

Description

Technical Field

[0001] This invention relates to an online grade detection technology for mineral slurry. By optimizing the concentration detection formula, the detection accuracy of mineral slurry concentration is improved, thereby improving the detection accuracy of mineral slurry element content. Background Technology

[0002] Slurry grade generally refers to the dry weight percentage of a certain element in the slurry. The general idea of ​​online slurry grade detection is to first measure the total mass of the element to be measured per unit volume in the slurry. E total Then, based on the slurry density r ,concentration C Parameters are used to calculate the slurry grade. G It is achievable. E total There are many technologies for online detection, such as neutron activation analysis, X-ray fluorescence analysis, laser-induced spectroscopy, and near-infrared spectroscopy. However, E total This does not represent the grade of the pulp; changes in both concentration and grade within the pulp affect... E total Assume the grade of the ore slurry is G The concentration is C The change in grade is D G The change in concentration is ΔC The effect of concentration change on E total The impact is ΔC / C Changes in taste E total The impact is ΔG / G ,set up ΔC , ΔG If both are 1, then the changes in concentration and grade have a significant impact on... E total The effects are 1 / C 1 / G For slurries with low concentration and high grade, changes in concentration have a significant impact. E total The impact will be greater than the effect of changes in taste. E total The accuracy of pulp concentration detection significantly impacts the accuracy of pulp grade detection; therefore, improving pulp concentration detection accuracy will improve pulp grade detection accuracy. This invention patent describes an optimization algorithm that can improve pulp concentration detection accuracy, thereby improving pulp grade detection accuracy.

[0003] Nuclear concentration meters are a highly stable online concentration detection technology widely used in the mineral processing industry for real-time online concentration monitoring of pipeline-transported slurries. Nuclear concentration meters utilize radiation attenuation technology to detect slurry concentration; the radiation attenuation formula is as follows:

[0004] In the formula N 0 For ray counting before attenuation, N For the count of attenuated rays, m This is the radiation mass attenuation coefficient, which is related to the average atomic number of the slurry and the energy of the radiation. d To determine the slurry mass thickness, formula (1) is transformed to obtain the following formula:

[0005] pulp concentration and d Linear correlation, assuming m If is a constant, then the pulp concentration can be expressed by the following formula:

[0006] In the formula C 1 For slurry concentration testing, N 0 The constant parameter is the gamma ray count when pure water flows through the slurry pipe. N The gamma ray count is performed as the slurry flows through the pipe. k 0 、b 0 These are constant parameters, obtained through linear calibration.

[0007] In practical applications, the radiation mass attenuation coefficient m It is not a constant; its value varies with the grade of the slurry, thus introducing additional errors into the formula by the nuclear concentration meter. Summary of the Invention

[0008] like Figure 1 As shown, the slurry is transported in the slurry transport pipeline of component 1, and first passes through the total element mass measurement system of component 4 to measure the total mass of elements per unit volume. E total Afterwards, the slurry flows into the "Z"-shaped pipe between the gamma radiation source of component 3 and the gamma ray detector of component 2. Component 2 records the gamma ray count and substitutes it into formula (3) to calculate the preliminary detection concentration of the slurry. C 1 .

[0009] Component 6, the pipeline slurry sampler, periodically extracts representative slurry samples from the pipeline and sends them to component 7, the gravimetric density meter, to measure the slurry density. r After density measurement, the slurry waste is returned to the slurry transport pipeline. The formula for calculating slurry grade is as follows:

[0010] In the formula G 1 For preliminary grade testing of slurry.

[0011] After combining and rearranging formulas (3) and (4), the following formula is obtained for calculating the preliminary grade of the slurry:

[0012] Formula (3) is applicable to the detection of slurry concentration at a fixed grade. When the slurry grade changes, Formula (3) will produce a large error. The fixed parameter in Formula (3) k 0 、b 0 It will change. The parameters in the concentration calculation formula were determined experimentally. k 0 、b 0 The concentration calculation parameters are linearly related to the slurry grade. After grade correction, the optimized calculation formula is as follows:

[0013] Parameters in the formula k 1 、b 1 、k 2 、b 2 As a constant parameter, it was determined through calibration experiments. The corrected concentration formula is then as follows:

[0014] After combining and rearranging formulas (6), (7), and (8), the concentration correction formula is as follows:

[0015] The corrected concentration C Substituting into the grade calculation formula, the corrected grade G The calculation formula is as follows:

[0016] After combining and rearranging formulas (9) and (10), the grade correction calculation formula is as follows:

[0017] parameter k1 、b 1 、k 2 、b 2 It needs to be obtained through experimental linear fitting. The fitting experiment method is as follows: S1: Prepare 5 batches of slurry with different grades, the grades being respectively... gra1、gra2、gra3、gra4、gra5 The pulp grade increases linearly, covering the range of pulp grades to be tested, and the concentration is the upper limit of the pulp concentration to be tested, denoted as... con1 ; S2: Fill the concentration meter with clean water and measure. N 0 count; S3: The grade is gra1 Concentration is con1 The slurry was fed into a concentration meter, and the gamma ray detector count was measured and recorded as follows. N g1c1 The concentrations of the slurry were reduced by adding water to obtain concentrations of [specific values]. con2、con3、con4、con5 The concentration of the slurry decreased linearly, covering the range of concentrations of the slurry to be tested. Slurries of different concentrations were sequentially fed into the concentration meter for testing, and the corresponding gamma-ray detector counts were recorded. N g1c2 、N g1c3 、N g1c4 、N g1c5 ; S4: Transfer the data ( con1、con2、con3、con4、con5 ), N 0 、( N g1c1 、N g1c2 、N g1c3 、N g1c4 、N g1c5 Substitute into the formula Perform linear fitting, where C 1 They are respectively con1、con2、con3、con4、con5 , N They are respectively N g1c1 、N g1c2 、N g1c3 、N g1c4 、N g1c5 Linear fitting yielded a grade of gra1constant parameters of slurry concentration K 0 , b 0 They are respectively k g1 and b g1 ; S5: To make the taste gra2、gra3、gra4、gra5 The concentration is con1 Repeat steps ③ and ④ of the slurry to obtain k g2 、k g3 、k g4 、k g5 Parameters and b g2 、b g3 、b g4 、b g5 parameter; S6: Will ( k g1 、k g2 、k g3 、k g4 、k g5 ) and data ( gra1、gra2、gra3、gra4、gra5 According to the formula Perform linear fitting, where K They are respectively k g1 、k g2 、k g3 、k g4 、k g5 , G 1 They are respectively gra1、gra2、 gra3、gra4、gra5 Parameters are obtained by linear fitting. k 1 、b 1 ; S7: Will ( b g1 、b g2 、b g3 、b g4 、b g5) and data ( gra1、gra2、gra3、gra4、gra5 According to the formula Perform linear fitting, where b They are respectively b g1 、b g2 、b g3 、b g4 、b g5 , G 1 They are respectively gra1、gra2、gra3、 gra4、gra5 Parameters are obtained by linear fitting. k 2 、b 2 ; Beneficial effects: By optimizing the algorithm, the accuracy of slurry concentration detection is improved, thereby improving the accuracy of slurry grade detection. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the present invention.

[0019] 1. Slurry transport pipeline; 2. Concentration meter gamma ray detector; 3. Concentration meter gamma radiation source; 4. Total element measurement system; 5. Iterative calculation computer; 6. Pipeline slurry sampler; 7. Weighing density meter. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Fill the concentration meter with clean water, and measure the gamma ray detector in component 2 of the concentration meter. N 0 ; like Figure 1 As shown, the slurry is transported in the slurry transport pipeline of component 1, and the total mass of elements per unit volume is measured by the total element measurement system of component 4. E total ; The slurry flows into a Z-shaped pipe between the gamma radiation source of component 3 (concentrator) and the gamma ray detector of component 2 (concentrator). Component 2 records the gamma ray count. N ; Component 6, the pipeline slurry sampler, periodically extracts representative slurry samples from the pipeline and sends them to component 7, the gravimetric density meter, to measure the slurry density. r After density measurement, the slurry waste is returned to the slurry pipeline; Measure parameters E total , N , r Substituting into formula (5), the preliminary elemental grades of the slurry are calculated. G 1 ; Preliminary elemental grade analysis of the slurry G 1 , E total , N , r Substituting into formula (11), the corrected slurry element grades are calculated. G .

[0022] Parameters in formula (11) k 1 、b 1 、k 2 、b 2 The linear fit needs to be obtained through experiments. The fitting steps are as follows: S1: Prepare 5 batches of slurry with different grades, the grades being respectively... gra1、gra2、gra3、gra4、gra5 The pulp grade increases linearly, covering the range of pulp grades to be tested, and the concentration is the upper limit of the pulp concentration to be tested, denoted as... con1 ; S2: Fill the concentration meter with clean water and measure. N 0 count; S3: The grade is gra1 Concentration is con1 The slurry was fed into a concentration meter, and the gamma ray detector count was measured and recorded as follows. N g1c1 The concentrations of the slurry were reduced by adding water to obtain concentrations of [specific values]. con2、con3、con4、con5 The concentration of the slurry decreased linearly, covering the range of concentrations of the slurry to be tested. Slurries of different concentrations were sequentially fed into the concentration meter for testing, and the corresponding gamma-ray detector counts were recorded. N g1c2 、N g1c3 、N g1c4 、N g1c5 ; S4: Transfer the data ( con1、con2、con3、con4、con5 ), N 0 、( N g1c1、N g1c2 、N g1c3 、N g1c4 、N g1c5 Substitute into the formula Perform linear fitting, where C 1 They are respectively con1、con2、con3、con4、con5 , N They are respectively N g1c1 、N g1c2 、N g1c3 、N g1c4 、N g1c5 Linear fitting yielded a grade of gra1 constant parameters of slurry concentration K 0 , b 0 They are respectively k g1 and b g1 ; S5: To make the taste gra2、gra3、gra4、gra5 Concentration is con1 Repeat steps ③ and ④ of the slurry to obtain k g2 、k g3 、k g4 、k g5 Parameters and b g2 、b g3 、b g4 、b g5 parameter; S6: Will ( k g1 、k g2 、k g3 、k g4 、k g5 ) and data ( gra1、gra2、gra3、gra4、gra5 According to the formula Perform linear fitting, where K They are respectively k g1 、k g2、k g3 、k g4 、k g5 , G 1 They are respectively gra1、gra2、 gra3、gra4、gra5 Parameters are obtained by linear fitting. k 1 、b 1 ; S7: Will ( b g1 、b g2 、b g3 、b g4 、b g5 ) and data ( gra1、gra2、gra3、gra4、gra5 According to the formula Perform linear fitting, where b They are respectively b g1 、b g2 、b g3 、b g4 、b g5 , G 1 They are respectively gra1、gra2、 gra3、gra4、gra5 Parameters are obtained by linear fitting. k 2 、b 2。

Claims

1. An algorithm for improving the accuracy of online slurry grade detection, applicable to online slurry grade detection technology, characterized in that, Optimize the formula for calculating slurry concentration to improve the accuracy of slurry concentration detection and the accuracy of slurry grade detection; Grade of constant parameters for concentration calculation G The original concentration calculation formula was revised and optimized as follows: , where parameters k , b For constant parameters; the optimized concentration calculation formula is as follows: Substituting the optimized concentration back into the slurry grade calculation formula yields the optimized grade calculation formula: , in the formula G 1 For preliminary grade testing of ore pulp, parameters k 1 、b 1 、k 2 、b 2 It is a constant parameter, determined through calibration experiments.

2. The optimized grade calculation formula according to claim 1, characterized in that, parameter k 1 、b 1 、k 2 、b 2 The calibration experimental method is as follows: S1: Prepare 5 batches of slurry with different grades, the grades being respectively... gra1, gra2, gra3, gra4, gra5 The pulp grade increases linearly, covering the range of pulp grades to be tested, and the concentration is the upper limit of the pulp concentration to be tested, denoted as... con1 ; S2: Fill the concentration meter with clean water and measure. N 0 count; S3: The grade is gra1 Concentration is con1 The slurry was fed into a concentration meter, and the gamma ray detector count was measured and recorded as follows. N g1c1 The concentrations of the slurry were reduced by adding water to obtain concentrations of [specific values]. con2, con3, con4, con5 The concentration of the slurry decreased linearly, covering the range of concentrations of the slurry to be tested. Slurries of different concentrations were sequentially fed into the concentration meter for testing, and the corresponding gamma-ray detector counts were recorded. N g1c2 、N g1c3 、N g1c4 、N g1c5 ; S4: Transfer the data ( con1, con2, con3, con4, con5 ), N 0 、( N g1c1 、N g1c2 、N g1c3 、N g1c4 、N g1c5 Substitute into the formula Perform linear fitting, where C 1 They are respectively con1, con2, con3, con4, con5 , N They are respectively N g1c1 、N g1c2 、N g1c3 、N g1c4 、N g1c5 Linear fitting yielded a grade of gra1 constant parameters of slurry concentration K 0 , b 0 They are respectively k g1 and b g1 ; S5: To make the taste gra2, gra3, gra4, gra5 Concentration is con1 Repeat steps ③ and ④ of the slurry to obtain k g2 、k g3 、 k g4 、k g5 Parameters and b g2 、b g3 、b g4 、b g5 parameter; S6: Will ( k g1 、k g2 、k g3 、k g4 、k g5 ) and data ( gra1, gra2, gra3, gra4, gra5 According to the formula Perform linear fitting, where K They are respectively k g1 、k g2 、k g3 、k g4 、k g5 , G 1 They are respectively gra1, gra2, gra3, gra4, gra5 Parameters are obtained by linear fitting. k 1 、b 1 ; S7: Will ( b g1 、b g2 、b g3 、b g4 、b g5 ) and data ( gra1, gra2, gra3, gra4, gra5 According to the formula Perform linear fitting, where b They are respectively b g1 、b g2 、b g3 、b g4 、b g5 , G 1 They are respectively gra1, gra2, gra3, gra4, gra5 Parameters are obtained by linear fitting. k 2 、b 2。

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