EP2392414A1 - Procédé et dispositif de reconnaissance d'un objet comprenant un minéral cible - Google Patents

Procédé et dispositif de reconnaissance d'un objet comprenant un minéral cible Download PDF

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Publication number
EP2392414A1
EP2392414A1 EP11004472A EP11004472A EP2392414A1 EP 2392414 A1 EP2392414 A1 EP 2392414A1 EP 11004472 A EP11004472 A EP 11004472A EP 11004472 A EP11004472 A EP 11004472A EP 2392414 A1 EP2392414 A1 EP 2392414A1
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EP
European Patent Office
Prior art keywords
light
frequency range
bulk material
detected
objects
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP11004472A
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German (de)
English (en)
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
OptoSort GmbH
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OptoSort GmbH
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Filing date
Publication date
Application filed by OptoSort GmbH filed Critical OptoSort GmbH
Publication of EP2392414A1 publication Critical patent/EP2392414A1/fr
Withdrawn legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties
    • B07C5/342Sorting according to other particular properties according to optical properties, e.g. colour
    • B07C5/3425Sorting according to other particular properties according to optical properties, e.g. colour of granular material, e.g. ore particles, grain
    • B07C5/3427Sorting according to other particular properties according to optical properties, e.g. colour of granular material, e.g. ore particles, grain by changing or intensifying the optical properties prior to scanning, e.g. by inducing fluorescence under UV or x-radiation, subjecting the material to a chemical reaction
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36Sorting apparatus characterised by the means used for distribution
    • B07C5/363Sorting apparatus characterised by the means used for distribution by means of air
    • B07C5/365Sorting apparatus characterised by the means used for distribution by means of air using a single separation means
    • B07C5/366Sorting apparatus characterised by the means used for distribution by means of air using a single separation means during free fall of the articles

Definitions

  • the present invention relates to a method for detecting an object containing a target mineral from a free-flowing bulk flow of a plurality of objects according to the preamble of claim 1, a device therefor according to the preamble of claim 4 and a method of manufacturing the device according to the preamble of claim 10.
  • the target minerals must reflect a significantly different color of light than the foreign materials. Because the individual color differences are not always very large, a correspondingly clean ambient air is required for the implementation of the method, since, for example, dust, water vapor or other impurities in the air make it difficult to recognize the respective color.
  • the object of the present invention is to provide a method and an apparatus for detecting a target mineral of the type mentioned at the outset in which significant differences between the target and the foreign material occur in order to achieve reliable differentiation.
  • a method carried out according to this technical teaching and a device designed according to this technical teaching have the advantage that when using infrared light, in particular NIR light having a wavelength of 800 nm to 10,000 nm, each mineral emits an individual IR light, which has a typical spectral property for each mineral.
  • infrared light in particular NIR light having a wavelength of 800 nm to 10,000 nm
  • each mineral emits an individual IR light, which has a typical spectral property for each mineral.
  • the spectral lines of each of the individual minerals at different points have so-called peaks, that is, wavelengths of particular high light intensity. You go Now, choosing a wavelength in which the target mineral has a peak, while the other materials in the bulk material flow in this area have no peak, it can be concluded that this is due to the presence of this peak in the particular wavelength range the target mineral.
  • the filtering of the IR light ensures that only the desired wavelength range is detected by the camera, so that the presence of a high light intensity also indicates the presence
  • Such a binary situation provides easily recognizable signals, so that such a recognition system can also be used in a dust or steam-polluting environment. It follows, inter alia, that such detection systems can be used underground in the mine with the result that the unneeded foreign matter left on site and need not be promoted to day, which in turn leads to a significant saving on production costs.
  • a compressed-air nozzle is then activated at the desired location, for example, in order to convey the object containing the target mineral from the bulk material stream into a separate container.
  • the filter is arranged inside the camera between the objective and the photosensitive sensor. This has the advantage that also here a contamination of the filter is avoided, since this is located inside the camera body.
  • the frequency range not greater than 50 nm, but preferably only 30 nm. It has been found that such a narrow frequency range is sufficient to detect the peak in the spectral range of the target mineral. Another advantage of this narrow frequency range is that unwanted secondary peaks are not detected.
  • the frequency range is determined by determining the half width of the peak.
  • the half-width is that area of the peak at which half the maximum light intensity of the peak is reached.
  • the light source is designed as a quartz tube light source. This has the advantage that in this way a linear light source is used, which emits its light at least over a larger part of the width of the bulk material flow.
  • quartz tube light sources are used, which are located around the bulk material flow around.
  • four light sources are arranged around the bulk material flow, with two Light sources above and two light sources are provided below the camera plane, and wherein two light sources are provided on this side and two light sources beyond the bulk material flow.
  • This is accompanied by the use of two different cameras, so that the bulk material flow is captured on both sides of the camera as well as on the other side.
  • This has the advantage that, as a result, such objects are also assigned to the target minerals, which only partially consist of target minerals and whose other part consists of a foreign material. When using only a single camera, there is a risk that only the foreign material is detected, so that this object can not be detected and thus can not be used economically.
  • the accuracy of the detection is further increased accordingly.
  • the light source is designed to emit this polarized light of an adjustable vibration level. This has the advantage that in this way the contrast of the light signals is increased, so that an even better recognition is possible. It has proven to be advantageous to adapt the vibration level to the respective detection process in order to achieve optimum results.
  • the inventive method and apparatus of the invention can be used not only for gemstones such as diamonds or the like. Or talc, but also in borates (drilling salt) such. Colemanite or other minerals that are infrared active.
  • Fig. 1 a schematic representation of the device according to the invention in side view
  • Fig. 1 the device according to Fig. 1 in front view.
  • Fig. 1 and 2 is shown in a schematic representation of an apparatus for detecting an object containing a target mineral, wherein a plurality of objects of different minerals via corresponding conveyor belts 10, 12 are supplied.
  • a plurality of objects 14 is arranged, which are distributed over the entire width of the conveyor belt 10, 12.
  • the individual objects 14 may have a size up to 350 mm in diameter, but may also only have a diameter of 0.5 mm.
  • the objects 14 on the conveyor belts 10 and 12 are sorted in such a way that only objects of similar size are used simultaneously, wherein the scattering should not exceed factor 3.
  • a predetermined area 18 is selected around which four near infrared (NIR) light sources 20 are arranged.
  • NIR near infrared
  • two light sources 20 are arranged above and two light sources 20 below the predetermined range, while two light sources 20 are arranged on the right and two light sources 20 to the left of the bulk material flow 16.
  • a virtual camera plane 22 is provided, in which two lines. or matrix cameras 24 are provided. Inside the camera 24, a filter not shown here is installed between the lens and the photosensitive sensor. Both cameras 24 are connected to an evaluation unit 26, which in turn is connected to an evaluation unit not shown here. The evaluation unit is connected to a number of nozzles 28, with which selected objects 14 can be conveyed out of the bulk material flow 16.
  • the evaluation unit evaluates the signals coming from the evaluation unit 26, at which point of the width of the bulk material flow 16 is an object containing a target material 14 and activates the associated nozzle 28, so that the target object 14 blown out of the bulk flow 16 and in a container 30 is collected. All other objects 14 pass through the nozzles 28 and fall into another container 32.
  • Minerals such as diamonds, borates, colemanite, talc or the like are infrared active. That is, these minerals are excited by the reception of IR light, especially NIR light and emit their own IR light with an individual spectral profile. That is, each mineral mimics NIR light with peaks (high-intensity wavelength band) in another wavelength range.
  • IR light especially NIR light
  • peaks high-intensity wavelength band
  • a wavelength range can be found by differential analysis, in which only the target mineral, here colemanite, has a peak, while the other minerals in this wavelength range even have no or at least no significant peak. If such a wavelength range is found, then a filter, in particular a bandpass filter is created, which passes only the found wavelength range of the NIR light.
  • the objects to be examined 14 are transported by a conveyor belt 12 and leave the conveyor belt 12 in a free fall.
  • a camera level 22 is on each side of the Schüttgutstromes 16 each arranged a camera 24.
  • the filter not shown here between the lens and the photosensitive sensor of the camera 24 is arranged.
  • the IR light emitted by the light sources 20 impinges on both sides of the bulk material flow 16 in a predetermined region 18, the individual objects 14 of the bulk material flow 16 being exposed to IR light from four different directions.
  • the objects 14 each emit an individual IR light, which is detected by the cameras 24.
  • the camera 24 can determine by means of the light sensor whether there is light or not, which is why it can be determined very reliably via the evaluation unit 26, whether at the relevant point containing a target mineral Object is or is not.
  • the wavelength range is determined by the size and the course of the peak, with the beginning and the end of the wavelength range corresponding to the point at which the peak has just half its light intensity.

Landscapes

  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Sorting Of Articles (AREA)
EP11004472A 2010-06-02 2011-06-01 Procédé et dispositif de reconnaissance d'un objet comprenant un minéral cible Withdrawn EP2392414A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102010022455A DE102010022455A1 (de) 2010-06-02 2010-06-02 Verfahren und Vorrichtung zum Erkennen eines ein Zielmineral enthaltenden Objektes

Publications (1)

Publication Number Publication Date
EP2392414A1 true EP2392414A1 (fr) 2011-12-07

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EP11004472A Withdrawn EP2392414A1 (fr) 2010-06-02 2011-06-01 Procédé et dispositif de reconnaissance d'un objet comprenant un minéral cible

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EP (1) EP2392414A1 (fr)
DE (1) DE102010022455A1 (fr)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2335837A1 (fr) 2009-12-08 2011-06-22 Titech GmbH Dispositif et procédé de séparation de morceaux lourds produits avec des compositions non souhaitées
CN103071575A (zh) * 2013-01-29 2013-05-01 宜城鑫青钙业有限公司 一种用浅色矿石加工制备超白矿物粉体的方法
CN103289448A (zh) * 2013-03-14 2013-09-11 河南工业大学 一种超白易分散稳定性高的水性涂料专用粉制备方法
CN105598026A (zh) * 2016-01-14 2016-05-25 山东博润工业技术股份有限公司 一种自动高效的干法分选系统
WO2018077866A1 (fr) 2016-10-24 2018-05-03 Tomra Sorting Nv Procédé et système de détection d'une signature diamant
CN109433633A (zh) * 2018-10-15 2019-03-08 刘峰 一种智能视频识别选矸系统
EP2825321B1 (fr) * 2012-03-16 2019-04-24 De Beers UK Ltd Tri de matériau agrégat
CN111515138A (zh) * 2020-04-26 2020-08-11 同济大学 基于颗粒形态识别的道砟智能筛分装置
CN112958477A (zh) * 2021-01-28 2021-06-15 赣州好朋友科技有限公司 一种表面反射成像和射线成像组合的分选设备

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0064842A1 (fr) * 1981-05-12 1982-11-17 Sphere Investments Limited Triage de matériaux
US5206699A (en) * 1988-05-06 1993-04-27 Gersan Establishment Sensing a narrow frequency band of radiation and gemstones
DE19504932A1 (de) 1995-02-15 1996-08-22 Ais Sommer Gmbh Verfahren zur Sortierung von Schüttgütern und Vorrichtung zur Durchführung des Verfahrens
US5628410A (en) * 1991-02-20 1997-05-13 Gersan Establishment Classifying or sorting
WO2010028446A1 (fr) * 2008-09-11 2010-03-18 Technological Resources Pty. Limited Tri de matière minière

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4561944B2 (ja) * 2000-06-16 2010-10-13 株式会社サタケ 粒状物選別装置
EP1581802B1 (fr) * 2003-01-10 2008-12-10 Schott AG Procede et dispositif de tri de verres de recyclage

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0064842A1 (fr) * 1981-05-12 1982-11-17 Sphere Investments Limited Triage de matériaux
US5206699A (en) * 1988-05-06 1993-04-27 Gersan Establishment Sensing a narrow frequency band of radiation and gemstones
US5628410A (en) * 1991-02-20 1997-05-13 Gersan Establishment Classifying or sorting
DE19504932A1 (de) 1995-02-15 1996-08-22 Ais Sommer Gmbh Verfahren zur Sortierung von Schüttgütern und Vorrichtung zur Durchführung des Verfahrens
WO2010028446A1 (fr) * 2008-09-11 2010-03-18 Technological Resources Pty. Limited Tri de matière minière

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2335837A1 (fr) 2009-12-08 2011-06-22 Titech GmbH Dispositif et procédé de séparation de morceaux lourds produits avec des compositions non souhaitées
EP2825321B1 (fr) * 2012-03-16 2019-04-24 De Beers UK Ltd Tri de matériau agrégat
CN103071575A (zh) * 2013-01-29 2013-05-01 宜城鑫青钙业有限公司 一种用浅色矿石加工制备超白矿物粉体的方法
CN103071575B (zh) * 2013-01-29 2014-12-17 宜城鑫青钙业有限公司 一种用浅色矿石加工制备超白矿物粉体的方法
CN103289448A (zh) * 2013-03-14 2013-09-11 河南工业大学 一种超白易分散稳定性高的水性涂料专用粉制备方法
CN105598026A (zh) * 2016-01-14 2016-05-25 山东博润工业技术股份有限公司 一种自动高效的干法分选系统
CN109863388A (zh) * 2016-10-24 2019-06-07 陶朗分选有限责任公司 一种用于检测钻石标记的方法和系统
WO2018077866A1 (fr) 2016-10-24 2018-05-03 Tomra Sorting Nv Procédé et système de détection d'une signature diamant
AU2017349176B2 (en) * 2016-10-24 2019-06-27 Tomra Sorting Gmbh A method and system for detecting a diamond signature
RU2702803C1 (ru) * 2016-10-24 2019-10-11 Томра Сортинг Гмбх Способ и система для детектирования идентификатора алмаза
US10598602B2 (en) 2016-10-24 2020-03-24 Tomra Sorting Gmbh Method and system for detecting a diamond signature
US10942128B2 (en) 2016-10-24 2021-03-09 Tomra Sorting Gmbh Method and system for detecting a diamond signature
CN112525856A (zh) * 2016-10-24 2021-03-19 陶朗分选有限责任公司 用于检测钻石标记的方法和装置以及计算机可读介质
AU2019236717B2 (en) * 2016-10-24 2021-06-24 Tomra Sorting Gmbh A method and system for detecting a diamond signature
CN109433633A (zh) * 2018-10-15 2019-03-08 刘峰 一种智能视频识别选矸系统
CN111515138A (zh) * 2020-04-26 2020-08-11 同济大学 基于颗粒形态识别的道砟智能筛分装置
CN112958477A (zh) * 2021-01-28 2021-06-15 赣州好朋友科技有限公司 一种表面反射成像和射线成像组合的分选设备

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Publication number Publication date
DE102010022455A1 (de) 2011-12-08

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