CN110749613A - Method for on-line analysis of phosphate ore - Google Patents
Method for on-line analysis of phosphate ore Download PDFInfo
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- CN110749613A CN110749613A CN201911185657.9A CN201911185657A CN110749613A CN 110749613 A CN110749613 A CN 110749613A CN 201911185657 A CN201911185657 A CN 201911185657A CN 110749613 A CN110749613 A CN 110749613A
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- Prior art keywords
- phosphate ore
- phosphorus
- magnesium
- iron
- aluminum
- Prior art date
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- 229910019142 PO4 Inorganic materials 0.000 title claims abstract description 65
- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 title claims abstract description 65
- 239000010452 phosphate Substances 0.000 title claims abstract description 65
- 238000004458 analytical method Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 21
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 78
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 claims abstract description 39
- FYYHWMGAXLPEAU-UHFFFAOYSA-N Magnesium Chemical compound [Mg] FYYHWMGAXLPEAU-UHFFFAOYSA-N 0.000 claims abstract description 39
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims abstract description 39
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 claims abstract description 39
- 229910052782 aluminium Inorganic materials 0.000 claims abstract description 39
- 239000011575 calcium Substances 0.000 claims abstract description 39
- 229910052791 calcium Inorganic materials 0.000 claims abstract description 39
- 229910052742 iron Inorganic materials 0.000 claims abstract description 39
- 239000011777 magnesium Substances 0.000 claims abstract description 39
- 229910052749 magnesium Inorganic materials 0.000 claims abstract description 39
- 239000011574 phosphorus Substances 0.000 claims abstract description 39
- 229910052698 phosphorus Inorganic materials 0.000 claims abstract description 39
- 230000005251 gamma ray Effects 0.000 claims abstract description 20
- 238000013499 data model Methods 0.000 claims abstract description 13
- 239000000919 ceramic Substances 0.000 claims abstract description 4
- 210000003298 dental enamel Anatomy 0.000 claims abstract description 4
- 239000003337 fertilizer Substances 0.000 claims abstract description 4
- 239000004033 plastic Substances 0.000 claims abstract description 4
- 229920003023 plastic Polymers 0.000 claims abstract description 4
- 230000002285 radioactive effect Effects 0.000 claims abstract description 4
- 239000005060 rubber Substances 0.000 claims abstract description 4
- 238000001514 detection method Methods 0.000 claims description 7
- 239000002367 phosphate rock Substances 0.000 claims description 7
- 238000011088 calibration curve Methods 0.000 claims description 5
- 239000003041 laboratory chemical Substances 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000003595 spectral effect Effects 0.000 abstract description 3
- 230000000149 penetrating effect Effects 0.000 abstract description 2
- 239000000126 substance Substances 0.000 description 4
- OJMIONKXNSYLSR-UHFFFAOYSA-N phosphorous acid Chemical compound OP(O)O OJMIONKXNSYLSR-UHFFFAOYSA-N 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- 239000003795 chemical substances by application Substances 0.000 description 2
- 238000005188 flotation Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 1
- 238000004737 colorimetric analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000002354 inductively-coupled plasma atomic emission spectroscopy Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 239000011591 potassium Substances 0.000 description 1
- 229910052700 potassium Inorganic materials 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 238000004448 titration Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention discloses a method for on-line analysis of phosphate ore, which is characterized by comprising the following steps: and receiving gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore by using a gamma energy spectrometer, and analyzing the received gamma ray signals by using a SoilOptix digital high-definition analysis system big data model, so that the contents of the phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore are quickly and accurately obtained. The method utilizes the fact that gamma rays are electromagnetic waves with extremely short wavelength, have strong penetrating power when interacting with elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore, and simultaneously absorb and scatter, so that characteristic spectral lines of the elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore are formed, and the received gamma ray signals are analyzed through a SoilOptix digital high-definition analysis system big data model, so that the content of the elements such as phosphorus, magnesium, iron, aluminum and calcium in the phosphate ore is rapidly and accurately determined. It is also suitable for measuring corresponding radioactive elements in food, plastics, rubber, ceramics, enamel or fertilizer.
Description
Technical Field
The invention relates to a method for on-line analysis of phosphate ore, which is suitable for on-line analysis of phosphate ore and other ore analysis, in particular to low-grade phosphate ore or other ore needing flotation.
Background
1. Current situation of phosphate ore
Phosphate rock plays an important role in national economy, and is particularly directly related to sustainable development of agriculture for agricultural countries with a large population. Due to over-exploitation in recent years, phosphorite resources have the phenomena of more serious enrichment and depletion, so that the phosphorite has low grade, more impurities, high mining and selecting cost and low recovery rate. Therefore, the reasonable development and utilization of phosphorite resources are very urgent problems.
2. Method for improving grade of phosphate ore
(1) The high-grade and low-grade phosphate ores are mixed, the grade of the low-grade ores is improved, the grade change of the ores needs to be monitored, and the cost is increased due to the excessive use amount of the high-grade ores; the use amount of the high-grade ore is too low, so that the quality of the ore is improved.
(2) The collecting agent is used for carrying out flotation on the phosphate ore, the grade of the ore is improved, the using amount of the collecting agent needs to be monitored in real time, and the quality of the phosphate ore is stabilized by the collecting effect.
3. The standard for stabilizing the quality of the phosphate ore is to control the contents of phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore, so the measurement of the contents of phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore is an effective means for ensuring the quality of the phosphate ore.
4. The method for measuring the contents of phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore comprises the following steps:
(1) the chemical titration method is also a national standard method at present, and from years of detection experiences, the repeatability of detection data is poor, the operation is complicated, the analysis time is long, and the human error is large.
(2) An ICP-AES method, which is used for carrying out quantitative analysis on characteristic spectrograms of magnesium, iron, aluminum and calcium by a plasma spectrometry; by consulting the spectrum line table, the sensitivity requirement of the potassium element analysis spectral line is higher, and the accuracy is easily influenced by the interference condition of the spectrum.
(3) The content of phosphorus is quantitatively analyzed by a spectrophotometer method through colorimetry, and the method has large errors in measurement of a large number of elements and poor reproducibility.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings of the existing measuring method and provide an online phosphate rock analyzing method
The technical scheme of the invention is as follows:
a method for on-line analysis of phosphate ore is characterized in that: and receiving gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore by using a gamma energy spectrometer, and analyzing the received gamma ray signals by using a SoilOptix digital high-definition analysis system big data model, so that the contents of the phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore are quickly and accurately obtained.
The gamma spectrometer is a SoilOptix sensor.
A method for on-line analysis of phosphate ore comprises the following main steps:
(1) installing a SoilOptix sensor on a carrier with a data acquisition system, wherein the distance between the SoilOptix sensor and a measured phosphate ore transmission belt is 20-60cm, and the SoilOptix sensor passively receives gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore;
(2) collecting phosphate rock samples of the same batch at fixed points, carrying out laboratory chemical detection on phosphorus, magnesium, iron, aluminum and calcium elements of the samples, inputting the samples into a SoilOptix digital high-definition analysis system big data model, and establishing a sensor data calibration curve;
(3) using SoilOptix digital high-definition analysis system big data model software to analyze gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore received by the SoilOptix sensor;
4) and through comparison and calibration, accurate contents of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore are obtained.
The steps are used for measuring corresponding radioactive elements in food, plastics, rubber, ceramics, enamel or fertilizers.
The invention relates to a method for on-line analysis of phosphate ore, which utilizes a gamma energy spectrometer to receive gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore, and the interaction of the gamma ray and the phosphorus, magnesium, iron, aluminum, calcium and other elements in the phosphate ore is the physical basis for measuring the phosphorus, magnesium, iron, aluminum, calcium and other elements in the phosphate ore by using a gamma energy spectrum. The gamma rays are electromagnetic waves with extremely short wavelength, have strong penetrating power when interacting with elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore, and simultaneously absorb and scatter, so that characteristic spectral lines of the elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore are formed, and received gamma ray signals are analyzed through a SoilOptix digital high-definition analysis system big data model, so that the content of the elements such as phosphorus, magnesium, iron, aluminum and calcium in the phosphate ore is rapidly and accurately measured. It is also suitable for measuring corresponding radioactive elements in food, plastics, rubber, ceramics, enamel or fertilizer.
Detailed Description
The invention is further explained by combining a specific embodiment, and both the SoilOptix digital high-definition analysis system and the SoilOptix sensor have the existing structures and are directly purchased from the people-controlled stock company.
Example one
1. A method for on-line analysis of phosphate ore comprises the steps of installing a SoilOptix sensor in front of a phosphate ore conveying belt and 20cm away from the phosphate ore, and receiving gamma ray signals of a phosphate ore sample on the conveying belt;
2. collecting samples of the same batch at fixed points, carrying out laboratory chemical detection on phosphorus, magnesium, iron, aluminum and calcium elements of the samples, inputting the samples into a SoilOptix digital high-definition analysis system big data model, and establishing a sensor data calibration curve;
3. using SoilOptix digital high-definition analysis system big data model software to analyze gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore received by the SoilOptix sensor;
4. and through comparison, accurate contents of elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore are obtained through calibration.
And (4) conclusion: through sensor data analyzed by a SoilOptix digital high-definition analysis system big data model, the contents of elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore obtained after calibration and the accuracy of chemical analysis data are respectively 92.8%, 96.1%, 95.6%, 95.2% and 97.1%.
Example two
1. Installing a SoilOptix sensor in front of a phosphate ore conveying belt and at a distance of 40cm from the phosphate ore, and receiving gamma ray signals of a phosphate ore sample on the conveying belt;
2. collecting samples of the same batch at fixed points, carrying out laboratory chemical detection on phosphorus, magnesium, iron, aluminum and calcium elements of the samples, inputting the samples into a SoilOptix digital high-definition analysis system big data model, and establishing a sensor data calibration curve;
3. using SoilOptix digital high-definition analysis system big data model software to analyze gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore received by the SoilOptix sensor;
4. and through comparison, accurate contents of elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore are obtained through calibration.
And (4) conclusion: through the sensor data analyzed by a big data model, the contents of elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore obtained after calibration and the accuracy of chemical analysis data are 93.2%, 95.8%, 96.6%, 97.1% and 96.5% respectively.
EXAMPLE III
1. Installing a SoilOptix sensor in front of a phosphate ore conveying belt and at a distance of 60cm from the phosphate ore, and receiving gamma ray signals of a phosphate ore sample on the conveying belt;
2. collecting samples of the same batch at fixed points, carrying out laboratory chemical detection on phosphorus, magnesium, iron, aluminum and calcium elements of the samples, inputting the samples into a SoilOptix digital high-definition analysis system big data model, and establishing a sensor data calibration curve;
3. using SoilOptix digital high-definition analysis system big data model software to analyze gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore received by the SoilOptix sensor;
4. and through comparison, accurate contents of elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore are obtained through calibration.
And (4) conclusion: through sensor data analyzed by a SoilOptix digital high-definition analysis system big data model, the contents of elements such as phosphorus, magnesium, iron, aluminum, calcium and the like in the phosphate ore obtained after calibration and the accuracy of chemical analysis data are 93.0%, 95.5%, 97.6%, 94.4% and 96.1% respectively.
Claims (4)
1. A method for on-line analysis of phosphate ore is characterized in that: and receiving gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore by using a gamma energy spectrometer, and analyzing the received gamma ray signals by using a SoilOptix digital high-definition analysis system big data model, so that the contents of the phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore are quickly and accurately obtained.
2. The method for on-line analysis of phosphate ore according to claim 1, characterized in that: the gamma spectrometer is a SoilOptix sensor.
3. The method for on-line analysis of phosphate ore according to claim 1 or 2, characterized in that: the method comprises the following specific steps:
(1) installing a SoilOptix sensor on a carrier with a data acquisition system, wherein the distance between the SoilOptix sensor and a measured phosphate ore transmission belt is 20-60cm, and the SoilOptix sensor passively receives gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore;
(2) collecting phosphate rock samples of the same batch at fixed points, carrying out laboratory chemical detection on phosphorus, magnesium, iron, aluminum and calcium elements of the samples, inputting the samples into a SoilOptix digital high-definition analysis system big data model, and establishing a sensor data calibration curve;
(3) using SoilOptix digital high-definition analysis system big data model software to analyze gamma ray signals of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore received by the SoilOptix sensor;
4) and through comparison and calibration, accurate contents of phosphorus, magnesium, iron, aluminum and calcium elements in the phosphate ore are obtained.
4. The method for on-line analysis of phosphate ore according to claim 3, characterized in that: the steps are used for measuring corresponding radioactive elements in food, plastics, rubber, ceramics, enamel or fertilizers.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911185657.9A CN110749613A (en) | 2019-11-27 | 2019-11-27 | Method for on-line analysis of phosphate ore |
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| CN201911185657.9A CN110749613A (en) | 2019-11-27 | 2019-11-27 | Method for on-line analysis of phosphate ore |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115591674A (en) * | 2022-10-24 | 2023-01-13 | 湖北富邦新材料有限公司（Cn） | A kind of siliceous calcium phosphorite type collophosite positive flotation collector and preparation method thereof |
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| CN115591674A (en) * | 2022-10-24 | 2023-01-13 | 湖北富邦新材料有限公司（Cn） | A kind of siliceous calcium phosphorite type collophosite positive flotation collector and preparation method thereof |
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