EP3723897A1 - Verfahren und einrichtung zur herstellung von körnerartigen feststoff-partikeln sowie computerprogramm - Google Patents
Verfahren und einrichtung zur herstellung von körnerartigen feststoff-partikeln sowie computerprogrammInfo
- Publication number
- EP3723897A1 EP3723897A1 EP18811706.3A EP18811706A EP3723897A1 EP 3723897 A1 EP3723897 A1 EP 3723897A1 EP 18811706 A EP18811706 A EP 18811706A EP 3723897 A1 EP3723897 A1 EP 3723897A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- particles
- starting substance
- produced
- parameter
- detection system
- 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- Withdrawn
Links
- 239000002245 particle Substances 0.000 title claims abstract description 102
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004590 computer program Methods 0.000 title claims abstract description 12
- 239000007787 solid Substances 0.000 title claims abstract description 12
- 239000000126 substance Substances 0.000 claims abstract description 61
- 238000004519 manufacturing process Methods 0.000 claims abstract description 35
- 230000003287 optical effect Effects 0.000 claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims description 24
- 238000009826 distribution Methods 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 6
- 230000033228 biological regulation Effects 0.000 claims description 4
- 230000001419 dependent effect Effects 0.000 claims description 2
- 238000002360 preparation method Methods 0.000 claims description 2
- 230000004044 response Effects 0.000 claims description 2
- 230000008901 benefit Effects 0.000 description 10
- 230000011218 segmentation Effects 0.000 description 7
- 238000011161 development Methods 0.000 description 6
- 230000018109 developmental process Effects 0.000 description 6
- 239000007858 starting material Substances 0.000 description 6
- 239000007788 liquid Substances 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 230000002123 temporal effect Effects 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- CSNNHWWHGAXBCP-UHFFFAOYSA-L Magnesium sulfate Chemical compound [Mg+2].[O-][S+2]([O-])([O-])[O-] CSNNHWWHGAXBCP-UHFFFAOYSA-L 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 229910052928 kieserite Inorganic materials 0.000 description 2
- 239000008188 pellet Substances 0.000 description 2
- 239000004810 polytetrafluoroethylene Substances 0.000 description 2
- 229920001343 polytetrafluoroethylene Polymers 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 238000005054 agglomeration Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000008187 granular material Substances 0.000 description 1
- 229910052736 halogen Inorganic materials 0.000 description 1
- 150000002367 halogens Chemical class 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000005453 pelletization Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000001454 recorded image Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means
- G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J2/00—Processes or devices for granulating materials, e.g. fertilisers in general; Rendering particulate materials free flowing in general, e.g. making them hydrophobic
- B01J2/14—Processes or devices for granulating materials, e.g. fertilisers in general; Rendering particulate materials free flowing in general, e.g. making them hydrophobic in rotating dishes or pans
Definitions
- the invention relates to a method for producing granular solid particles from at least one starting substance, wherein the produced particles are optically detected with an optical detection system, wherein optically detected data of the produced particles are provided by the optical detection system, and from the optically acquired data of at least one particle produced
- the invention also relates to a device for carrying out the method and to a computer program for carrying out the method.
- Granular solid particles which are also referred to here for short as “particles”, are available in a wide variety of designs, for example in the form of pellets, granules, briquettes or similar bulk materials a powdery consistency is no longer expected.
- This object is achieved in a method of the type mentioned in that at least one parameter of the manufacturing process of further particles is automatically influenced due to the at least one determined from the optically acquired data of the produced particles characteristic, wherein the determined characteristic of the grain size or particle size distribution of the particles produced or a size determined therefrom.
- the invention has the advantage that on the basis of the optical detection of the produced particles is actively intervened in the manufacturing process and this can be adapted to the extent that the waste is minimized. This is a complete departure from the prior art proposals, e.g. in US 8,833,566 B2, in which the variance of the manufacturing process and the waste produced thereby are easily accepted.
- the present invention has a commercial benefit to the user, but it also benefits the protection of natural resources and environmental protection.
- the invention is applicable to various manufacturing processes in which granular solid particles are produced, for example in the production of fertilizers, in the production of iron ore pellets, in the production of other scattering agents, in the production of
- the at least one characteristic variable determined from the optically recorded data of the particles produced is the particle size or particle size distribution of the particles produced or a variable determined therefrom.
- the grain size or at least on the grain size distribution, a statistical mean of the Grain size controlled by the method according to the invention and the production of further particles are adjusted accordingly.
- the dso value can be determined. This indicates a mean diameter of the particles, for example, such that the diameter of the particles at 50% of the cumulative
- the dso value refers to the particles at least as large as the dso value-related diameter, that is, 50% of the particles are smaller than the specified value.
- One or more further variables can also be determined from the optically recorded data as the determined parameter, for example the particle number, the volume, represented as a derived diameter, for example as a Feret, area equivalent or hydraulic
- a desired value is predetermined for the at least one parameter determined from the optically recorded data of the particles produced and the method is carried out in such a way that by influencing the at least one parameter of the
- the other particles are produced with a substantially corresponding to the setpoint characteristic. In this way, a control can be performed on the setpoint.
- This has the advantage that the method, for example, by methods of
- Control technology can be realized, for example by using known in control technology controller types.
- control is carried out at least by means of a primary control parameter, wherein the primary control parameter is the grain size or grain size distribution of the produced particles or a size determined therefrom.
- the primary control parameter is the grain size or grain size distribution of the produced particles or a size determined therefrom.
- control is carried out at least by means of a primary control parameter and a secondary control parameter, wherein the
- Control parameter that is, the secondary control parameter
- the control can react even more flexible to special situations in the production of the particles. For example, due to the
- Secondary control parameters are carried out a rapid or abrupt change in the influenced by the control parameter of the manufacturing process.
- the secondary control parameter is the particle number and / or the temporal change of the number of particles per time unit or a variable determined therefrom.
- the particles of at least a first and one of them are provided that the particles of at least a first and one of them.
- the particles produced can be made by mixing the two
- the first starting substance may be a powdery substance
- the second starting substance may be a liquid substance.
- the optical detection system may include one or more optical sensors
- Have sensors for example in the form of a line scan camera or a multi-dimensional photosensor, for example in the form of a
- the produced particles are optically detected by means of at least one camera of the optical detection system. This allows a very precise and high-resolution optical detection of the particles.
- the images generated by the camera can be subjected to a subsequent image processing, which in particular makes it possible to identify individual particles in the recorded image and to differentiate them from other particles.
- Incident light method are illuminated by a light source of the optical detection system.
- the optical detection system can be realized easily and reliably.
- the parameter can be reliably determined from the optically acquired data.
- the advantage of this type of lighting is a homogeneous illumination of the analyzer Range and - and above all - the minimization of temporally changing external light influences.
- the lighting can be implemented with halogen light sources or - to save energy - with LEDs. When using LEDs, it is advantageous if an LED driver
- a black plate e.g. made of PTFE as a substrate or background. Another advantage of the PTFE is that no caking forms, which could falsify the recordings.
- Processing device for processing the at least one
- Processing device exiting particles and with at least one control device, which is set up to control at least one parameter of the manufacturing process at least in response to at least one determined by the optical detection system characteristic, wherein the means for implementing a method of the type described above is set up.
- the first raw material supply means serves to supply the first raw material to the processing means. Processing of the supplied first starting substance then takes place in the processing device. The processing device generates the produced particles. The whole process can be controlled by the controller, for example by the
- Control device executes a computer program with which the inventive method is performed. For this, the
- Control means comprise a computer, for example a personal computer (PC), a microprocessor or a microcontroller.
- PC personal computer
- microprocessor or a microcontroller.
- the device has at least one second starting substance feed device for a second starting substance, wherein the second starting substance feed device has a valve arrangement with a plurality of switchable valves arranged in parallel branches, through which the second starting substance is divided into different, from the valve actuation of the valves dependent Zumengung the
- Processing device can be fed.
- the second starting substance can be supplied to the processing device.
- the plurality of switchable valves arranged in parallel branches have the advantage that the quantity of the second starting substance discharged can be adjusted in a simple manner regulated with sufficient fineness.
- the equipment required for this is low, it can simple switchable valves such. pneumatic valves, solenoid valves or piezo valves are used.
- the first starting substance supply means comprises a valve arrangement having a plurality of switchable valves arranged in parallel branches, through which the first starting substance in different, depending on the valve actuation of the valves Zumengung of
- Processing device can be fed. In this way, the supplied amount of the first starting substance can be adjusted in a simple manner.
- the starting substances for example kieserite-M (ground ESTA kieserite) and kieserite-E (unground fine ESTA kieserite) are already detected before being fed to the processing device by means of an optical measurement of the grain size or grain size distribution (as described above). Since a later spraying of the first starting substance by a second starting substance (liquid) can take place, by determining the particle sizes or
- Grain size distributions, the specific surface of the starting materials and from this the amount of liquid required for spraying at the same desired target grain size are calculated and by a valve control, the amount of liquid to be supplied can be adjusted.
- Computer program can, for example, on a computer of the above-mentioned device or its
- Control device are executed.
- Figure 1 is a schematic representation of a device for
- FIG. 2 is a flowchart of a flow in the optical one
- FIG. 3 shows image data generated during the course of FIG. 4 shows a sequence of the regulation of the at least one parameter of the production process in a time diagram.
- the device shown in FIG. 1 has a first starting substance feed device 1, 3.
- This includes a storage container 1, in which a supply of a first starting substance 2 of the manufacturing process is present, and a conveyor 3. It is assumed that the first substance 2 has a powdery consistency.
- Conveying device 3 for example - a screw, below the
- Reservoir 1 is arranged.
- the conveyor 3 promotes a feed stream 4 of the first starting substance 2 to a
- the processing device 12 may be formed, for example, as a granulating or pelletizing plate, which is rotated. Due to the rotational movement, a buildup agglomeration of the supplied first starting substance 2, in combination with an additionally supplied second starting substance 6, takes place.
- the granular solid particles 14 which are formed in this process are applied via a
- Output device 15 for example, a chute or a conveyor belt, fed to another use.
- the device has a second starting substance feed device 5, 7, 9.
- This includes a second reservoir 5, in which, for example, the liquid second starting substance 6 is present, and lines 7, 9.
- the second starting material 6 is supplied via the lines 7, 9 of the processing device 12, for example by the second starting substance 6 at the end of Line 9 is sprayed out. Via a further line 8, the second starting substance 6 can be supplied to a further application, for example for feeding into a mixer.
- the device also has a control device 18, for example in the form of an electronic control device.
- Control device can essentially be realized by a computer, if necessary supplemented by corresponding hardware extensions for interfaces to the components explained below.
- the control device 18 is connected to a flowmeter 11. Via the flow meter 11, the mass flow of the feed stream 4 can be measured.
- the controller 18 is also connected to an optical detection system 16, 17.
- Detection system has a camera 16 which is aligned with the particles 14 to receive them and deliver appropriate images to the controller 18. In order to improve the quality of the images of the camera 16, the particles 14 are illuminated by light sources 17.
- valve assembly 10 is further provided, through which the ejected from the line 9 amount of the second starting substance 6 can be influenced.
- the valve assembly 10 may, for example, have a plurality of switchable valves arranged in parallel branches, so that by selective switching on or off of one or more of these valves, the delivery of the second starting substance 6 can be completely switched off or set in different strengths.
- the controller 18 reads that from the flow meter 11
- control device 18 generates control data for the valve arrangement 10. Via the valve arrangement 10 and the corresponding control data, the at least one parameter of the production process of further particles 14 is generated influenced and thus realized the previously explained control process, which will be explained in more detail below with reference to the further figures.
- FIG. 1 shows the processing of the images of the camera 16 in the
- Control device 18 for example in the form of a
- a step 20 an initialization of the computer program takes place.
- the camera 16 is initialized.
- the program sequence is determined. This also includes a holding pattern, e.g. is executed when at the
- step 23 is first a
- step 24 image conversion and calibration of the optical detection system are performed, that is, the magnitude scale is determined.
- This step 24 must be performed once to set up the optical detection system.
- step 25 further image adjustments can be made, for example a pre-filtering (Blur / Sharp). This step is optional. Furthermore, one is
- Step 26 a black and white threshold is defined.
- An image section to be edited is specified.
- Step 27 the smallest particles in the image data are filtered out. There may be additional segmentation of the image data. Step 27 is also optional.
- an algorithm is performed in step 28 for segmentation. Segmentation means that in the camera image by the mentioned algorithm, the individual particles are automatically detected, even if they partially overlap in the image recording of the camera 16. For example, in step 29, segmentation may be performed by calculating a distance map. The calculation can be done according to the Danielson method or the standard method. Alternatively, in step 30, segmentation may be performed by using a blur filter
- a watershed analysis is performed.
- the data generated here are in one
- step 32 combined with the data generated in step 26 or in step 27, for example by means of pixel-by-pixel
- a subsequent step 33 an overlay image is created, in which the image data generated in step 26 are superimposed with the image data generated in step 32. This step is only to better illustrate the process result and is usually disabled to optimize computation time.
- characteristic quantities of the particles 14 are determined from the image data now generated, for example their grain size or
- Grain size distribution in particular the dso value or another suitable percentile of the particle size distribution.
- a subsequent step 35 further pass values and / or averages can be determined.
- the data of the feed stream 4 are read from the optionally usable flow meter 11.
- subsequent steps 37 and 38 preparations are made of the data thus obtained.
- a step 39 a step
- FIG. 3 shows with reference to FIG. 2 in some of the steps of FIG
- Segmentation made a very good separation of the individual detected particles in the image data, so that in the image very close together arranged particles are not recognized as a single large particle, but can be automatically recognized and evaluated as individual particles.
- FIG. 4 shows the dso values of the particles 14 in the curve 40 and the number of particles per unit time in the curve 41.
- the produced particles 14 are to be produced with a particle size of, for example, 3.5 mm (dso value). This is thus a setpoint for the control. Because in the manufacturing process, no very exact compliance with this
- the desired range is the range between the threshold values 51 and 53. If the dso value is in this range, the so-called normal mode is present. In this case, an amount allocated to the normal operation becomes the second one
- a further improvement of the control can be achieved by taking into account the slope of the curve 41. Has the curve 41 only relatively short periods of time with increases and decreases of
- the dso values form the primary control parameter, the particle number forms the secondary control parameter.
- Primary control parameters always override the secondary control parameters, that is, the primary control parameter has priority in such cases in the control.
Landscapes
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Organic Chemistry (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Dispersion Chemistry (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Physical Or Chemical Processes And Apparatus (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017010271.6A DE102017010271A1 (de) | 2017-11-07 | 2017-11-07 | Verfahren und Einrichtung zur Herstellung von körnerartigen Feststoff-Partikeln sowie Computerprogramm |
PCT/DE2018/000322 WO2019091507A1 (de) | 2017-11-07 | 2018-11-02 | Verfahren und einrichtung zur herstellung von körnerartigen feststoff-partikeln sowie computerprogramm |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3723897A1 true EP3723897A1 (de) | 2020-10-21 |
Family
ID=64564528
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18811706.3A Withdrawn EP3723897A1 (de) | 2017-11-07 | 2018-11-02 | Verfahren und einrichtung zur herstellung von körnerartigen feststoff-partikeln sowie computerprogramm |
Country Status (8)
Country | Link |
---|---|
US (1) | US20200355595A1 (de) |
EP (1) | EP3723897A1 (de) |
CN (1) | CN111526937A (de) |
BR (1) | BR112020009004A2 (de) |
CA (1) | CA3081884A1 (de) |
DE (1) | DE102017010271A1 (de) |
IL (1) | IL274516A (de) |
WO (1) | WO2019091507A1 (de) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102020003228A1 (de) | 2020-06-03 | 2021-12-09 | K+S Aktiengesellschaft | Verfahren und Einrichtung zur Herstellung von körnerartigen Feststoff-Partikeln sowie Computerprogramm |
CN115055111A (zh) * | 2022-05-30 | 2022-09-16 | 福建南方路面机械股份有限公司 | 行星混炼造粒设备的监测及反馈装置 |
DE102023107572A1 (de) | 2023-03-27 | 2024-10-02 | Schenck Process Europe Gmbh | Verfahren zur Ermittlung einer Konfiguration einer Dosiervorrichtung für ein Schüttgut, Verfahren zum Erhalten einer Empfehlung für eine Konfiguration einer Dosiervorrichtung für ein Schüttgut sowie Vorrichtungen zur Datenverarbeitung |
CN117839547B (zh) * | 2024-01-11 | 2024-09-17 | 山东锦路环保科技有限公司 | 一种环保用炼厂气脱硫剂制备装置 |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE4029202A1 (de) * | 1990-09-14 | 1992-03-19 | Buehler Ag | Verfahren zum sortieren von partikeln eines schuettgutes und vorrichtungen hierfuer |
JPH05132386A (ja) * | 1991-11-08 | 1993-05-28 | Nippon Denki Computer Syst Kk | 化成肥料製造における自動制御方式 |
JP3351812B2 (ja) * | 1992-04-09 | 2002-12-03 | 株式会社パウレック | 粒子加工装置用制御装置 |
JP3355536B2 (ja) * | 1993-10-26 | 2002-12-09 | 不二パウダル株式会社 | 造粒やコーティング等における撮影装置 |
WO1997015816A1 (fr) * | 1995-10-25 | 1997-05-01 | Freund Industrial Co., Ltd. | Dispositif de mesure de particules pour appareil de traitement de granules et procede de mesure de particules |
DE19645923A1 (de) * | 1996-11-07 | 1998-05-14 | Bayer Ag | Vorrichtung zur Bestimmung der Produktfeuchte und der Korngröße in einer Wirbelschicht |
US20010042287A1 (en) * | 1997-10-30 | 2001-11-22 | Yasushi Watanabe | Production method for granulated materials by controlling particle size distribution using diffracted and scattered light from particles under granulation and system to execute the method |
JP5631631B2 (ja) | 2010-05-21 | 2014-11-26 | 株式会社サタケ | 圧電式バルブ及び該圧電式バルブを利用する光学式粒状物選別機 |
-
2017
- 2017-11-07 DE DE102017010271.6A patent/DE102017010271A1/de not_active Ceased
-
2018
- 2018-11-02 CN CN201880080524.2A patent/CN111526937A/zh active Pending
- 2018-11-02 EP EP18811706.3A patent/EP3723897A1/de not_active Withdrawn
- 2018-11-02 US US16/762,383 patent/US20200355595A1/en not_active Abandoned
- 2018-11-02 WO PCT/DE2018/000322 patent/WO2019091507A1/de unknown
- 2018-11-02 CA CA3081884A patent/CA3081884A1/en not_active Abandoned
- 2018-11-02 BR BR112020009004-2A patent/BR112020009004A2/pt not_active Application Discontinuation
-
2020
- 2020-05-07 IL IL274516A patent/IL274516A/en unknown
Also Published As
Publication number | Publication date |
---|---|
DE102017010271A1 (de) | 2019-05-09 |
BR112020009004A2 (pt) | 2020-11-17 |
CN111526937A (zh) | 2020-08-11 |
CA3081884A1 (en) | 2019-05-16 |
US20200355595A1 (en) | 2020-11-12 |
WO2019091507A1 (de) | 2019-05-16 |
IL274516A (en) | 2020-06-30 |
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