CN115494096A - Metallurgical solid waste identification method and system based on X-ray diffraction spectrum - Google Patents
Metallurgical solid waste identification method and system based on X-ray diffraction spectrum Download PDFInfo
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- 239000002910 solid waste Substances 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000002441 X-ray diffraction Methods 0.000 title claims abstract description 29
- 238000001228 spectrum Methods 0.000 title claims abstract description 10
- 239000000203 mixture Substances 0.000 claims abstract description 136
- 239000002994 raw material Substances 0.000 claims abstract description 42
- 229910052729 chemical element Inorganic materials 0.000 claims abstract description 35
- 238000004611 spectroscopical analysis Methods 0.000 claims 7
- 238000010183 spectrum analysis Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 8
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 229910052742 iron Inorganic materials 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- UQSXHKLRYXJYBZ-UHFFFAOYSA-N Iron oxide Chemical compound [Fe]=O UQSXHKLRYXJYBZ-UHFFFAOYSA-N 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000010298 pulverizing process Methods 0.000 description 2
- 238000004876 x-ray fluorescence Methods 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- HCHKCACWOHOZIP-UHFFFAOYSA-N Zinc Chemical compound [Zn] HCHKCACWOHOZIP-UHFFFAOYSA-N 0.000 description 1
- 238000000862 absorption spectrum Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000000295 emission spectrum Methods 0.000 description 1
- 238000009616 inductively coupled plasma Methods 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000007431 microscopic evaluation Methods 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 239000011701 zinc Substances 0.000 description 1
- 229910052725 zinc Inorganic materials 0.000 description 1
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- 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
- G01N23/20—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 using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
- G01N23/207—Diffractometry using detectors, e.g. using a probe in a central position and one or more displaceable detectors in circumferential positions
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- 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
- G01N23/20—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 using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
- G01N23/20008—Constructional details of analysers, e.g. characterised by X-ray source, detector or optical system; Accessories therefor; Preparing specimens therefor
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- 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
- G01N23/20—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 using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
- G01N23/20008—Constructional details of analysers, e.g. characterised by X-ray source, detector or optical system; Accessories therefor; Preparing specimens therefor
- G01N23/2005—Preparation of powder samples therefor
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Abstract
The invention discloses a metallurgical solid waste identification method and a system based on X-ray diffraction spectrum, comprising the following steps: mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture; acquiring a first appearance image and chemical element composition information of a first mixture; acquiring phase structure information of the first mixture by performing X-ray diffraction spectrum analysis on the first mixture; acquiring a first relation between chemical element composition information and a first appearance image; acquiring a second relation between the phase structure information and the first appearance image; according to the first relation and the second relation, generating the types and the proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance image of the second mixture; the method can quickly and accurately identify the metallurgical solid waste, ensure the quality of imported metallurgical raw materials, promote port trade convenience and maintain ecological environment safety.
Description
Technical Field
The invention relates to the field of identification of metallurgical solid waste properties, in particular to a metallurgical solid waste identification method and system based on X-ray diffraction spectrum.
Background
The imported metallurgical raw materials have high freight value, so the imported metallurgical raw materials are one of main trade commodities with frequent smuggling and adulteration phenomena, in recent years, the port repeatedly acquires the phenomena of smuggling the imported solid wastes containing iron dust, iron oxide scale, iron-containing smelting slag and the like under the name of iron ore powder, but at present, the main identification process still needs to send the goods to a laboratory for analysis after unloading, the representativeness of samples is insufficient, the analysis period is long, and the accuracy of results and the trade process are influenced.
The X-ray technology is used for detecting the composition and structure of a substance, the project aims to overcome the defects that the traditional equipment has strict requirements on environment, large occupied area and easy loss of components, a low-power X-ray generator and a two-dimensional detector with an energy dispersion function are adopted to obtain the structural characteristics of a sample, the composition of the sample is obtained by the X-ray fluorescence, and the cargo characteristic information is quickly detected by comparing the sample with the traditional equipment and a database.
At present, inspection and identification of large quantities of resources are mostly concentrated in laboratories, and applied means generally include chemical analysis, microscopic analysis, X-ray fluorescence spectrum, X-ray diffraction spectrum, inductively coupled plasma emission spectrum, atomic absorption spectrum and the like, but the method has the disadvantages of large investment once, high reagent consumption, long analysis time, incapability of guaranteeing analysis timeliness, and incompatibility with current large customs and trade convenience, so that a port on-line metallurgy solid waste identification system is urgently needed to realize rapid and accurate analysis of goods.
Disclosure of Invention
In order to solve the problems of insufficient sample representativeness and long analysis period in the existing identification of metallurgical solid wastes, the invention aims to provide a method and a system for identifying metallurgical solid wastes based on X-ray diffraction spectrum, which are mainly applied to the identification of metallurgical raw materials such as iron ore, copper ore, lead ore, zinc ore and the like so as to ensure the quality of imported metallurgical raw materials, effectively identify the metallurgical solid wastes and maintain the safety of ecological environment.
In order to achieve the technical purpose, the invention provides a metallurgical solid waste identification method based on X-ray diffraction spectrum, which comprises the following steps:
mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture;
acquiring a first appearance image and chemical element composition information of a first mixture;
acquiring phase structure information of the first mixture by performing X-ray diffraction on the first mixture;
acquiring a first relation between chemical element composition information and a first appearance image;
acquiring a second relation between the phase structure information and the first appearance image;
and according to the first relation and the second relation, generating the types and proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance image of the second mixture.
Preferably, in the process of generating the first mixture, the same metallurgical solid waste is respectively mixed with different metallurgical raw materials to generate a third mixture;
respectively mixing the same metallurgical raw materials with different metallurgical solid wastes to generate a fourth mixture;
a first mixture is generated from the third mixture and the fourth mixture.
Preferably, in the process of generating the third mixture, different metallurgical raw materials are mixed and then mixed with the metallurgical solid waste to generate a fifth mixture;
mixing different metallurgical solid wastes, and then mixing the metallurgical solid wastes with metallurgical raw materials to generate a sixth mixture;
a first mixture is generated from the third and fourth mixtures and the fifth and sixth mixtures.
Preferably, in the process of acquiring the first appearance image, the chemical element composition information and the phase structure information, the first appearance image and the chemical element composition information are acquired after the first mixture is crushed; and acquiring phase structure information of the crushed first mixture through X-ray diffraction analysis.
Preferably, in the process of obtaining the first relation, the chemical element composition and the chemical element content of the first mixture are obtained according to the chemical element composition information;
by obtaining a first effect of chemical element composition on the first topographical image, and a second influence of the chemical element content on the first appearance profile image, generating a first relationship.
Preferably, in the process of acquiring the second relationship, based on the first influence, acquiring a third relationship between the phase structure information and the first appearance morphology image;
acquiring a fourth relation between the phase structure information and the first appearance morphology image based on the second influence;
and generating a second relation based on the third relation and the fourth relation.
Preferably, in the process of acquiring the second appearance image of the second mixture, the second mixture is pulverized according to the pulverization condition of the first mixture, the second appearance image of the pulverized second mixture is acquired, and the types and proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture are acquired by performing feature comparison on the first appearance image.
The invention discloses a metallurgical solid waste identification system based on X-ray diffraction, which comprises:
the data acquisition module is used for mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture; acquiring a first appearance image and chemical element composition information of the first mixture, and performing X-ray diffraction analysis on the first mixture to obtain phase structure information of the first mixture;
the data processing module is used for acquiring a first relation between the chemical element composition information and the first appearance image and acquiring a second relation between the phase structure information and the first appearance image;
and the identification module is used for generating the types and the proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance and appearance image of the second mixture according to the first relation and the second relation.
The invention discloses the following technical effects:
the method can quickly and accurately identify the metallurgical solid waste, ensure the quality of imported metallurgical raw materials and maintain the safety of ecological environment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the metallurgical raw material sample inspection according to the present invention;
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application, as generally described and illustrated in the figures herein, could be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
As shown in figures 1-2, the invention provides a metallurgical solid waste identification method based on X-ray diffraction spectrum, which comprises the following steps:
mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture;
acquiring a first appearance image and chemical element composition information of a first mixture;
acquiring phase structure information of the first mixture by performing X-ray diffraction analysis on the first mixture;
acquiring a first relation between chemical element composition information and a first appearance image;
acquiring a second relation between the phase structure information and the first appearance image;
and according to the first relation and the second relation, generating the types and proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance and appearance image of the second mixture.
Further preferably, in the process of generating the first mixture, the same metallurgical solid waste is respectively mixed with different metallurgical raw materials to generate a third mixture;
respectively mixing the same metallurgical raw materials with different metallurgical solid wastes to generate a fourth mixture;
a first mixture is generated from the third mixture and the fourth mixture.
Further preferably, in the process of generating the third mixture, different metallurgical raw materials are mixed and then mixed with the metallurgical solid waste to generate a fifth mixture;
mixing different metallurgical solid wastes, and then mixing the metallurgical solid wastes with metallurgical raw materials to generate a sixth mixture;
a first mixture is generated from the third and fourth mixtures and the fifth and sixth mixtures.
Further preferably, in the process of acquiring the first appearance image, the chemical element composition information and the phase structure information, the first appearance image and the chemical element composition information are acquired after the first mixture is crushed; phase structure information of the pulverized first mixture was obtained by X-ray diffraction analysis.
Further preferably, in the process of obtaining the first relation, the invention obtains the chemical element composition and the chemical element content of the first mixture according to the chemical element composition information;
by obtaining a first effect of chemical element composition on the first topographical image, and a second influence of the chemical element content on the first appearance profile image, generating a first relationship.
Further preferably, in the process of acquiring the second relationship, a third relationship between the phase structure information and the first appearance and appearance image is acquired based on the first influence;
acquiring a fourth relation between the phase structure information and the first appearance morphology image based on the second influence;
and generating a second relation based on the third relation and the fourth relation.
Further preferably, in the process of acquiring the second appearance image of the second mixture, the invention pulverizes the second mixture according to the pulverization condition of the first mixture, collects the second appearance image of the pulverized second mixture, and performs feature comparison through the first appearance image to acquire the type and proportion of the metallurgical raw material and the metallurgical solid waste in the second mixture.
According to the identification method of the metallurgical solid waste, different first appearance images are generated according to the proportion of the metallurgical raw materials to the metallurgical solid waste in a first mixture when the first appearance images are collected, and then the proportion of the metallurgical raw materials to the metallurgical solid waste can be obtained when the types of the metallurgical raw materials and the metallurgical solid waste are obtained through the collected second appearance images, similarity comparison, characteristic analysis and other means; in addition, because the variety of the metallurgical solid waste is more, the situation of the metallurgical raw materials in the mixture can be judged according to the morphological characterization relation of the variety of the metallurgical raw materials and the proportion thereof, and then the contained proportion of the metallurgical solid waste can be judged from the side surface during identification, at the moment, if the comparison in the database is not successful, the metallurgical solid waste is processed according to the processing processes of the first relation and the second relation, the database is updated, and iteration of the identification method and intelligent learning of the identification system are realized.
The invention also discloses a metallurgical solid waste identification system based on X-ray diffraction, which comprises:
the data acquisition module is used for mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture; acquiring a first appearance image and chemical element composition information of the first mixture, and performing X-ray diffraction analysis on the first mixture to obtain phase structure information of the first mixture;
the data processing module is used for acquiring a first relation between the chemical element composition information and the first appearance image and acquiring a second relation between the phase structure information and the first appearance image;
and the identification module is used for generating the types and the proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance and appearance image of the second mixture according to the first relation and the second relation.
According to the identification system, the acquisition process of the first relation and the second relation is continuously refined in a data iteration and big data analysis mode, so that the identification of the system is more accurate, the identification types and the identification capabilities aiming at different conditions are increased through data iteration, and the adaptability of the system is enhanced.
The invention further discloses a movable storage device, which is used for realizing the technical process of identification through the appearance image and the system function of the metallurgical solid waste identification system in the metallurgical solid waste identification method through a computer program and realizing the system function and the identification method through embedded development.
The X-ray diffraction is a technology for detecting a fine structure of a substance, and a portable X-ray diffractometer adopting the technology obtains a diffraction pattern of a sample by using a low-power X-ray source and a two-dimensional CCD (Charge-Coupled Device image sensor) detector with an energy dispersion function, and then compares the diffraction pattern with a mineral diffraction pattern database through software to rapidly identify the content of metallurgical raw materials and phase.
After the sampling is finished, a 15mg sample is carefully loaded into the vibration sample chamber by using a small spoon, and then the sample oscillator is connected through a sample oscillator connecting wire to uniformly vibrate the sample in the sample chamber. And then placing the vibration sample chamber in a slot of an X-ray diffractometer, checking whether the sample is accurately clamped or not after the sample is installed, determining according to working conditions of the instrument, enabling the X-rays to penetrate through the sample, and enabling an instrument detector to receive diffracted light beams to form a diffraction map so as to obtain sample information.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Claims (8)
1. A metallurgical solid waste identification method based on X-ray diffraction spectrum is characterized by comprising the following steps:
mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture;
acquiring a first appearance image and chemical element composition information of the first mixture;
acquiring phase structure information of the first mixture by performing X-ray diffraction analysis on the first mixture;
acquiring a first relation between the chemical element composition information and the first appearance and appearance image;
acquiring a second relation between the phase structure information and the first appearance and appearance image;
and according to the first relation and the second relation, generating the types and proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance and appearance image of the second mixture.
2. The method for identifying metallurgical solid waste based on X-ray diffraction spectroscopy according to claim 1, wherein the method comprises the following steps:
in the process of generating the first mixture, respectively mixing the same metallurgical solid waste with different metallurgical raw materials to generate a third mixture;
mixing the same metallurgical raw materials with different metallurgical solid wastes respectively to generate a fourth mixture;
generating the first mixture from the third mixture and the fourth mixture.
3. The method for identifying metallurgical solid waste based on X-ray diffraction spectroscopy according to claim 2, wherein the method comprises the following steps:
in the process of generating the third mixture, mixing different metallurgical raw materials, and then mixing the mixture with the metallurgical solid waste to generate a fifth mixture;
mixing different metallurgical solid wastes, and then mixing the different metallurgical solid wastes with the metallurgical raw materials to generate a sixth mixture;
generating the first mixture from the third and fourth mixtures and the fifth and sixth mixtures.
4. The method for identifying metallurgical solid waste based on X-ray diffraction spectroscopy according to claim 3, wherein the method comprises the following steps:
in the process of acquiring a first appearance image, chemical element composition information and phase structure information, crushing the first mixture, and acquiring the first appearance image and the chemical element composition information; and acquiring the phase structure information of the crushed first mixture through the X-ray diffraction.
5. The method for identifying metallurgical solid waste based on X-ray diffraction spectroscopy according to claim 4, wherein the method comprises the following steps:
in the process of acquiring the first relation, acquiring the chemical element composition and the chemical element content of the first mixture according to the chemical element composition information;
and generating the first relation by acquiring a first influence of the chemical element composition on the first appearance and appearance image and a second influence of the chemical element content on the first appearance and appearance image.
6. The method for identifying metallurgical solid waste based on X-ray diffraction spectroscopy according to claim 5, wherein the method comprises the following steps:
in the process of acquiring the second relation, acquiring a third relation between the phase structure information and the first appearance morphology image based on the first influence;
acquiring a fourth relation between the phase structure information and the first appearance morphology image based on the second influence;
generating the second relationship based on the third relationship and the fourth relationship.
7. The method for identifying metallurgical solid waste based on X-ray diffraction spectroscopy according to claim 6, wherein the method comprises the following steps:
in the process of obtaining a second appearance image of a second mixture, crushing the second mixture according to the crushing condition of the first mixture, collecting the second appearance image of the crushed second mixture, and performing characteristic comparison through the first appearance image to obtain the types and proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture.
8. A metallurgical solid waste identification system based on X-ray diffraction spectroscopy, comprising:
the data acquisition module is used for mixing metallurgical raw materials with different metallurgical solid wastes to generate a first mixture; acquiring a first appearance image and chemical element composition information of the first mixture, and performing X-ray diffraction analysis on the first mixture to obtain phase structure information of the first mixture;
the data processing module is used for acquiring a first relation between the chemical element composition information and the first appearance image and acquiring a second relation between the phase structure information and the first appearance image;
and the identification module is used for generating the types and the proportions of the metallurgical raw materials and the metallurgical solid wastes in the second mixture by acquiring a second appearance image of the second mixture according to the first relation and the second relation.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104153770A (en) * | 2014-07-08 | 2014-11-19 | 中国石油天然气股份有限公司 | Simulation method and system of hydrocarbon generation of shale and organic pore evolution |
| CN109254023A (en) * | 2017-07-14 | 2019-01-22 | 江苏出入境检验检疫局工业产品检测中心 | A kind of solid waste mirror method for distinguishing |
| CN109269951A (en) * | 2018-09-06 | 2019-01-25 | 山西智卓电气有限公司 | Floating tail-coal ash content, concentration, coarse granule detection method of content based on image |
| CN110728095A (en) * | 2019-11-06 | 2020-01-24 | 中南大学 | Ledge thermal conductivity coefficient soft measurement method and system based on mesoscopic morphology detection |
| CN112164076A (en) * | 2020-09-24 | 2021-01-01 | 济南大学 | Hardened cement water cement ratio prediction method and system based on cement microstructure image |
| CN113390909A (en) * | 2021-06-11 | 2021-09-14 | 安徽理工大学 | Coal and gangue identification method based on X-ray diffraction technology |
| CN113960088A (en) * | 2021-09-18 | 2022-01-21 | 天津海关化矿金属材料检测中心 | Method for rapidly screening attributes of solid wastes before unloading of imported bulk iron ores |
| CN115147399A (en) * | 2022-07-29 | 2022-10-04 | 济南大学 | Method and system for predicting element content of cement microscopic image pixel points |
-
2022
- 2022-10-24 CN CN202211307565.5A patent/CN115494096A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104153770A (en) * | 2014-07-08 | 2014-11-19 | 中国石油天然气股份有限公司 | Simulation method and system of hydrocarbon generation of shale and organic pore evolution |
| CN109254023A (en) * | 2017-07-14 | 2019-01-22 | 江苏出入境检验检疫局工业产品检测中心 | A kind of solid waste mirror method for distinguishing |
| CN109269951A (en) * | 2018-09-06 | 2019-01-25 | 山西智卓电气有限公司 | Floating tail-coal ash content, concentration, coarse granule detection method of content based on image |
| CN110728095A (en) * | 2019-11-06 | 2020-01-24 | 中南大学 | Ledge thermal conductivity coefficient soft measurement method and system based on mesoscopic morphology detection |
| CN112164076A (en) * | 2020-09-24 | 2021-01-01 | 济南大学 | Hardened cement water cement ratio prediction method and system based on cement microstructure image |
| CN113390909A (en) * | 2021-06-11 | 2021-09-14 | 安徽理工大学 | Coal and gangue identification method based on X-ray diffraction technology |
| CN113960088A (en) * | 2021-09-18 | 2022-01-21 | 天津海关化矿金属材料检测中心 | Method for rapidly screening attributes of solid wastes before unloading of imported bulk iron ores |
| CN115147399A (en) * | 2022-07-29 | 2022-10-04 | 济南大学 | Method and system for predicting element content of cement microscopic image pixel points |
Non-Patent Citations (1)
| Title |
|---|
| 郝雅琼: "多种进口含铜物料的固体废物鉴别方法", 《冶金分析》, vol. 37, no. 01, 31 January 2017 (2017-01-31), pages 1 - 3 * |
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